CN105004497A - Method for identifying signs of faults occurred to electric tools - Google Patents
Method for identifying signs of faults occurred to electric tools Download PDFInfo
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- CN105004497A CN105004497A CN201510199020.0A CN201510199020A CN105004497A CN 105004497 A CN105004497 A CN 105004497A CN 201510199020 A CN201510199020 A CN 201510199020A CN 105004497 A CN105004497 A CN 105004497A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M17/00—Testing of vehicles
- G01M17/007—Wheeled or endless-tracked vehicles
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
- G01M7/02—Vibration-testing by means of a shake table
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H3/00—Measuring characteristics of vibrations by using a detector in a fluid
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
- G01M13/02—Gearings; Transmission mechanisms
- G01M13/028—Acoustic or vibration analysis
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M7/00—Vibration-testing of structures; Shock-testing of structures
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- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/002—Thermal testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4445—Classification of defects
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N29/00—Investigating or analysing materials by the use of ultrasonic, sonic or infrasonic waves; Visualisation of the interior of objects by transmitting ultrasonic or sonic waves through the object
- G01N29/44—Processing the detected response signal, e.g. electronic circuits specially adapted therefor
- G01N29/4454—Signal recognition, e.g. specific values or portions, signal events, signatures
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
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Abstract
The invention relates to a method for identifying signs of faults occurred to electric tools. According to the invention, when a fault occurs to an electric tool, at least one microphone at least temporarily detects a noise produced by the electric tool. The noise, after the initiation of the operation and/or control of a system for user interaction and a system for signal processing, is received by the system for signal processing via a microphone in the form of an audio signal, and the system for signal processing subsequently performs fault diagnosis on the noise, so that the audio signal received and/or data extracted from the audio signal are subsequently transmitted to a system for identifying faults, wherein the system for identifying faults uses the audio signal received and/or the data extracted from the audio signal for the self-calibration by means of a reference audio signal stored in at least one database and/or data extracted from the reference audio signal so as to perform faul classification on the faults of the electric tool.
Description
Technical field
The present invention relates to and know method for distinguishing and a kind of device for carrying out sign identification to the fault of electric tool by the as described in the preamble accordingly, a kind of of claim 1 and 10 for carrying out sign to the fault of electric tool.
Background technology
But such is known from prior art undoubtedly for carrying out sign knowledge method for distinguishing to the fault of at least one electric tool.That is such as know the device based on sound, the described device based on sound uses solid-borne noise in the current moment to analyze the fault of electric tool.For this reason by suitable sensor with have the object of examine, namely such as described electric tool mechanically couples together, and vibrate and is converted to electric signal, then the signal of described electricity is used for carrying out fault diagnosis.
Also there is corresponding analytical equipment, described analytical equipment is tested and assessed to the sound transmitted by air (compared with solid-borne noise).Air sound and other sensor signal (such as structure-borne sound sensor, rotation rate sensor, multiple microphone for positioning sound source) combine by these devices, but often do not classify (that is automatically to fault type, often can only identify, whether there is defect, but can not identify, where also exists defect and/or there is which kind of or what class defect), and also need other sensor all the time.In other words, Yes/No-analysis principle can only be followed with such device when additionally using other sensor, described Yes/No-analysis principle can only show in principle, is in the tool to there is one and always a kind of defect or just there is not described defect somewhere.
Like this know from prior art, know method for distinguishing or device therefore not only about the concrete location/classification out of true of the fault of described electric tool for carrying out sign to the fault of at least one electric tool, and cost is not too cheap and operation stability is not high equally in addition.
Summary of the invention
Thus, therefore task of the present invention is, especially illustrate a kind of for carrying out sign knowledge method for distinguishing to the fault of at least one electric tool, the method can method automatically be classified to the fault of electric tool and locate in an extremely simple manner, and in addition a kind of such method or a kind of such device not only with low cost, and can to operate completely especially stablely.
This task is solved by the theme of claim 1.
Now in order to illustrate a kind of for the fault of at least one electric tool is carried out sign identification, can the fault of method to the described electric tool method that divides and/or locate in a particularly simple way, invention as described herein especially utilizes following design: for described method, first in the process of fault occurring described electric tool, at least temporarily detect the noise produced by described electric tool by least one microphone here.Such as described microphone is the microphone of the acoustics receiving sound wave.
In the next step, after handling and/or controlling the system for customer interaction, received by the system for signal transacting the noise detected by described microphone with the form of sound signal by microphone.In other words, therefore described microphone by described noise by mathematics/algorithm of electrical technology is converted to sound signal, and sends these sound signals by the described system being used for signal transacting further to.Especially the described system for signal transacting can be a kind of structural detail, and this structural detail can be arranged in larger module group as modular element that is compact, that namely manufacture integratedly.
In the next step, so fault diagnosis is carried out to described noise or the described sound signal being converted to sound signal by system and/or the microphone for signal transacting and/or data, the such as frequency distribution of extracting from described sound signal, thus especially come especially only by received sound signal and/or especially only the data extracted from described sound signal, such as frequency distribution are transferred to the system for Fault Identification subsequently by the described system for signal transacting.Especially can imagine, in the inside of the described system for signal transacting itself to being proceeded editor by the described sound signal that system received and/or produced for signal transacting.
In this respect, can imagine in addition, described in these data crossed by the described system compiles being used for signal transacting being sent to together with the additional information illustrated by user and/or evaluating conditions, be used for the system of Fault Identification.Can imagine, the described system for Fault Identification is spatially separated with the described system for signal transacting.That is, can imagine, the described system for Fault Identification is integrated in computer network, such as based in the network of cloud.For this reason, the described system for Fault Identification can be stored in the central server of cloud ability (Cloud-f hig).
Conclusively be, only received sound signal and/or the described data extracted from these sound signals are used for carrying out automatic calibration by the reference audio signal preserved at least one database and/or the data extracted from these reference audio signals by the described system for Fault Identification, thus failure modes is implemented to the fault of described electric tool.In other words, can not be in audio frequency aspect but in the aspect of extracted data, carry out audio alignment completely or partially.
In other words, the described system for Fault Identification utilizes information deposited in the database to be combined in automatic calibration as described herein, can realize the classification of the fault type corresponding with described sound signal for (sometimes when considering the additional information illustrated by user).Thus, particularly advantageously can be identified by method as described herein, identify all corresponding sources of trouble and/or position it, the appearance of the described source of trouble is associated with the signal function of acoustics simultaneously.With the record to described noise, can accurately describe described sign as the feature of the sign of fault and qualification belongs to the fault of special sign clearly.Especially can confirm be sufficient that, a unique microphone arranged by the detector as acoustics, for detecting the fault that in a large number also can acoustically perceive out.This no longer need greater number, the sensor of special physics, wherein usually needing one has the sensor of operation function to be monitored for often kind.
In addition, by as described herein, for the system of customer interaction, such as can activate described method in the time given in advance by the user artificially of electric tool.Therefore, occur unknown noise or associate with fault phase intuitively noise time, user starts described method, that is, described noise first detected.
After carrying out activation analysis process by the described system for customer interaction, such as touch-screen or other input block, occurring automatically activating described method for during noise unknown trouble-free operation in the time given in advance.For this reason, thus be necessary by all parts of described electric tool, with run normally corresponding, known ground unrest and/or the sound signal obtained and/or the data extracted from these sound signals are preserved in memory, be namely kept in database as described herein.Therefore, when such as monitored continuously noise is different from reference audio signal preserved in the database, described method can automatically, that is when do not have independent, from kind and/or the location of determining the fault on described electric tool when externalities or adjustment.The system of customer interaction is used for described in the result of described failure modes being exported to again for the system of Fault Identification preferably, that is, result can by described ratio if comprise screen, notify user in the mode of acoustics in an optical manner and/or also for the system of customer interaction.
In addition, can imagine, can make described for carrying out sign identification, as described herein method to the fault of at least one electric tool or device as described herein carries out effect connection on electric tools different in a large number or rather, but method as described herein and device as described herein are particularly suitable for only using on electric tool.That is, attestedly be, method as described herein or device as described herein can especially compactly and save locational space ground not only be arranged on electric tool above or the inside, and as described herein, interactional and match for the system of Fault Identification and the concrete characteristic of described electric tool for carrying out user.This also can mean, method as described herein or device as described herein are not suitable for such as implementing fault diagnosis in a motor vehicle.That is, in order to such as use method as described herein or device as described herein in such motor vehicle, need other, for each system repacking operation and adjustment process, although described repacking operation and adjustment process can be imagined can be implemented completely, method as described herein and device as described herein are particularly suitable for the fault can determining electric tool.
According at least one embodiment, described for fault is carried out sign know method for distinguishing comprise first step, according to described first step occur described electric tool fault process at least temporarily detect by least one microphone the noise produced by described electric tool, wherein in the next step by for the system for customer interaction, for the system of signal transacting manipulation and/or control start after receive detected noise by described microphone with the form of sound signal by the described system for signal transacting.
At this, so fault diagnosis is carried out to described noise, thus especially only by received sound signal and/or data that especially only will extract from described sound signal, such as frequency distribution is transferred to the system for Fault Identification subsequently, received sound signal and/or the described data extracted from described sound signal are only used for carrying out automatic calibration by the reference audio signal be kept at least one database and/or the data extracted from these reference audio signals by the wherein said system for Fault Identification, thus failure modes is implemented to the fault of described electric tool.At this, self-evident, also the data extracted from described reference audio signal can be preserved in a database equally at this.
According at least one embodiment, the failure modes of described sound signal is based upon on the basis of at least one analytical algorithm, described analytical algorithm is stored in the described system for Fault Identification and/or described database, wherein comes to implement to divide and/or location to the fault of described electric tool by means of described analytical algorithm.Thus, can arrange like this: can not only by received and be preferably such as divided into different fault category on described electric tool and/or position location by the described sound signal crossed for the system compiles of signal transacting and/or the data extracted from described sound signal by described analytical algorithm, and such as also once more such as can edit described sound signal by means of described analytical algorithm, classify and/or especially it seems its Further Division to be different vibration ingredients by the frequency spectrum of described signal and/or phase spectrum.Thus, analytical algorithm as described herein in a particularly reliable manner method not only allows to determine, whether there is the fault of described electric tool actually, and also allow such as to determine the order of severity of fault in addition and/or also allow accurately to illustrate occurred fault on which assembly of described electric tool.Can imagining equally, in order to identify that the sound signal that fault is analyzed by described analytical algorithm and classified must be over a kind of ultimate value (English: threshold), from described ultimate value, there is the fault no longer can stood actually.If had been found that fault actually, that just can be imagined, can by means of method device as described herein or as described herein, come such as automatically and/or by user's (after output caution signal) to turn off described electric tool for the system of Fault Identification and/or other system.Therefore, the injury risk of user is lowered to bottom line.
According at least one embodiment, described microphone, the described system for customer interaction, the described system for signal transacting and/or the described system for Fault Identification be installed at least one movement, preferably can connecting Internet (internetf hig) terminal device in.Especially described terminal device can be desktop personal computer and/or mobile phone.Therefore, if sign identification will be implemented to possible fault on described electric tool, can imagine, described electric tool is put in the near field identified region of the terminal device of described movement, make the microphone of the terminal device of described movement in the process running described electric tool, that is in the process nearby terminal device of described movement being put into described electric tool, record ground unrest and method the device being used for carrying out Fault Identification can be arranged at least one partly movement in a particularly simple way thus, preferably can in the terminal device of connecting Internet.
That is, can imagine, by preferably can be installed in equally as already mentioned above in terminal device, for the system of Fault Identification at record ground unrest and after described noise is converted to sound signal, by described sound signal by the WLAN circuit of connecting Internet should be able to sending to and be arranged in outside and obtain the database preserved especially equally, thus final failure modes can be implemented to the possible fault of described electric tool.
The system of such movement be therefore particularly suitable for widely and be as far as possible unrestrictedly applied in a large number different, can obtain in different positions on the electric tool of locating.
According at least one embodiment, described database is stored at least one central server.Described central server can be such server, and it is a part for the network based on cloud.Thus, by described database-located in described central server time refer to " diagnosis based on cloud ".In this case, be necessary, supplementing to whole device can the communication agency of connecting Internet.This can mean, described microphone, the described system for customer interaction, the described system for signal transacting and/or the described system for Fault Identification at least in part can connecting Internets, thus can set up computer network, such as based on the network of cloud by described whole device.
According at least one embodiment, by the result data of described failure modes preserve in the database, and these results are used for Time dynamic ground and/or sight dynamically described analytical algorithm is adjusted.Therefore, in such embodiment, equally the understanding that obtained by described result data is preserved in a database, and can use it for and such as analytical algorithm as described herein is upgraded.Therefore, refer in technical term (Fachgargon) " Online-learning(on-line study) ".Mean such as according to the working time of described electric tool and/or the adjustment carried out described analytical algorithm for the working time of the device fault on electric tool being carried out to sign identification in this " adjustment of Time dynamic "." sight adjusts dynamically " be then such, for the adjustment of described analytical algorithm, although this adjustment can not depend on that the time implements, but such as comprise a kind of counter, this counter calculates, and has implemented with much frequencies and has known method for distinguishing for carrying out sign to the fault on corresponding electric tool.In other words, it is a kind of adjustment like this that sight adjusts dynamically, and be integrated in described device for such as number system this adjustment, described device together counts the situation implementing method as described herein on corresponding electric tool.
That is, can imagine at this, for carrying out sign identification, as described herein method to fault or device as described herein is assigned to multiple electric tool or can implements on multiple electric tool.For this reason, device as described herein can comprise certifying agency, can identify corresponding electric tool by means of described certifying agency, thus only about corresponding, realize a kind of such counter status and/or the Time dynamic for described algorithm through the electric tool identified adjustment.
According at least one embodiment, mention the result data of described failure modes, that is likely, device as described herein or method as described herein have corresponding measure, described measure can identify described electric tool clearly and according to the characteristic of described electric tool by by clearly, preferably distribute to correspondingly described electric tool, corresponding routine analyzer or corresponding analytical algorithm be loaded into described in be used for the inside of the system of Fault Identification.Therefore, after loading is entered, the data run history in past just can for method as described herein or device as described herein.In other words, device as described herein can implement diagnosis by the data run history (calibration as by carrying out with the database at described center) of electric tool needing to be checked, and can upgrade this service history (Service-Historie) according to described diagnosis.In this case, can to user show additional useful information (such as safeguard the contact data of serving employee, guarantee time limit, for direct feasible program setting up contact etc.).
Especially described microphone, the described system for customer interaction, the described system for signal transacting and/or the described system for Fault Identification and geo-positioning system are among data communication.
According at least one embodiment, the described system for signal transacting was edited described sound signal by means of at least one data filter and/or algorithm wave filter before being used for the system of Fault Identification described in described sound signal being sent to.Thus such processing mode can realize this point with time saving methods especially: the described system for Fault Identification can be analyzed the sound signal through editor thus especially soon, easily and inexpensively, then need not with the first integrated such data of adding of troublesome methods and/or algorithm wave filter in the described system for Fault Identification itself.In other words, thus this can use a kind of system for Fault Identification, and this system has at large and is not specially for described electric tool and/or for the described analysis institution arranged for the system of signal transacting.That is, the system of Fault Identification will be used for described in being sent to by the described sound signal being used for carrying out signal transacting with the common especially and form of easily decoding.
According at least one embodiment, input the exclusive parameter of the equipment of described electric tool by means of the described system for customer interaction and/or at least one other interface, the exclusive parameter of wherein said equipment is specifically assigned to corresponding fault type and/or electric tool.The parameter that such as described equipment is exclusive is the model of electric tool and/or the name of product of electric tool, identifies this electric tool clearly described in described model and/or name of product can make for the system of customer interaction.
In addition, invention as described herein relates to a kind of device for carrying out sign identification to the fault of at least one electric tool.At this, as described herein, for the device fault of at least one electric tool being carried out to sign identification, there is the design proposal identical with method as described herein and advantage.That is, for the feature disclosed in method as described herein is similarly device as described herein and disclose and vice versa.
According at least one embodiment, device as described herein comprises at least one microphone, described microphone is constructed and is arranged for: at least temporarily detect the noise produced by described electric tool in the process of the fault occurring electric tool, and wherein detected noise is by the manipulation for the system for customer interaction and/or can be received with the form of sound signal by described microphone by the system for signal transacting after controlling to start described device.
So fault diagnosis is carried out to described noise at this, thus the system that received sound signal and/or the data extracted from described sound signal can be transferred to subsequently for Fault Identification, the wherein said system construction for Fault Identification is used for: only received sound signal be used for carrying out automatic calibration by the described reference audio signal preserved at least one database and/or the data extracted from described reference audio signal, for implementing failure modes to described electric tool.
At this, device as described herein has the advantage identical with method as described herein and personalized design proposal as mentioned above.
Accompanying drawing explanation
Below by means of embodiment and affiliated accompanying drawing to for carrying out sign identification, as described herein method to fault and device as described herein is explained in detail.
Fig. 1 is the schematic diagram of a kind of embodiment of method as described herein and a kind of device as described herein.
reference numerals list:
1 electric tool
2A noise
2B sound signal
2C result data
3 microphones
4 for the system of customer interaction
5 for the system of signal transacting
6 for the system of Fault Identification
7 databases
8 central servers
100 know method for distinguishing for carrying out sign to fault
101 for carrying out the device of sign identification to fault.
In described embodiment and accompanying drawing, ingredient that is identical or that play phase same-action is respectively equipped with identical Reference numeral.Here shown element should not be considered as proportionally, may show each element large or rather for the purpose of better understanding.
Embodiment
In FIG by means of schematic diagram show as described herein, for carrying out a kind of embodiment of the device 101 of sign identification to the fault of electric tool 1.
Device as described herein comprise microphone 3, the system 4 for customer interaction, the system 5 for signal transacting, for the system 6 of Fault Identification and database 7.
Caused the beginning of diagnostic function in a first step by the described system 4 for customer interaction this user.At this, described system may comprise at least one interface, and user can carry out the additional information (such as device type, sequence number) of optional description with described interface.
In the next step, the described system 5 for signal transacting receives the noise 2A from there being electric tool 1 to be tested, described noise 2A is converted to corresponding sound signal 2B by described microphone, is edited these sound signals by suitable filtering and feature extraction.
In the next step, by these through the sound signal of editor and/or extract from described sound signal, through editor data like this by the described system 5(being used for signal transacting sometimes together with the additional information illustrated by user) send to the described system 6 for Fault Identification.
The information deposited in database 7 and suitable mathematical model one are used from by the described system 6 for Fault Identification classifies (sometimes when considering the additional information illustrated by user) to the fault type corresponding with described sound signal 2B.Described suitable, especially can be a kind of analytical algorithm for the mathematical model of classifying to sound signal 2B, this analytical algorithm matches with described special electric tool 1 on the one hand and/or also can in view of especially setting up for being considered to significantly important fault type user and regulating.
The result data 2C of described failure modes is left in described database 7, and can be used in Time dynamic ground and/or sight dynamically described analytical algorithm adjusted and upgrade (English: online-learning).
Be used for the system 4 of customer interaction described in the data of described result data and/or failure modes then send to by the described system 6 for Fault Identification, the described ratio of the system for customer interaction is if be display screen.
Different (son) systems need not be positioned on the equipment of identical physics forcibly at this.Than if imagination is divided into a portable equipment (such as smart mobile phone adds accordingly " APP(application program) " and one for carry out analysis automatically, the server (" computer based diagnosis ") at center.In this case advantageously, the suitable communication agency (ability (can obtain according to standard as such as in smart mobile phone) of such as connecting Internet is supplemented to whole system.
Optionally can to assess (such as serving employee equipment to be tested to be had with regard to this fault to check to described and determine the correctness of automatically diagnosis like this by system described here after described diagnosis) described diagnostic result afterwards.
(as by described for the system 4 of customer interaction in and/or described for the corresponding function in the system 6 of Fault Identification) described diagnostic result assessed after, by this assessment note in described database 7, and can correspondingly such as adjust the model of the mathematics of described analytical algorithm, especially analytical algorithm for classifying to fault type Time dynamic.
But, however, can imagine, other is optional for device 101 alternative provision as described herein, for the joint of other sensor.As long as user connected these additional sensors before described diagnosis, its signal just can be used for diagnosing by equally.But such sensor only should be interpreted as possibility purely, and only form invention as described herein, another kind of favourable design proposal.
Also can imagine, as described herein, for the system of Fault Identification, diagnosis and the data run history of described electric tool 1 are tied.Such service prehistory can be realized by the calibration carried out with the database 7 at described center by described sound signal, thus also can correspondingly adjust described service history in diagnostic procedure and upgrade.Additional useful information (such as the time limit of the contact data of the attendant that safeguards, guarantee, for direct feasible program setting up contact etc.) is shown in this case to user.
As long as the parts of described system can be run on the platform similar with smart mobile phone, so described system sometimes also can and utilize additional function and sender signal when user agrees to.That is, can imagine, described microphone 3, the described system 4 for customer interaction, the described system 5 for signal transacting and/or the described system 6 for Fault Identification are among data communication with geo-positioning system (English: GPS), thus can not only determine all the time as described herein, for carrying out the accurate position of the device 101 of fault diagnosis and the accurate position of described electric tool 1 can being determined.Than if on the terminal device of movement, namely on smart mobile phone-in the above can be integrated and all systems of described device 101-for having equipment to be tested, namely described electric tool 1 to show nearest maintenace point are installed except described database, or the communication function of described smart mobile phone can be utilized, for serve employee and set up and contact (as by phone, note, Email etc.).
Therefore, in a word as repeatedly mentioned above, invention as described herein has special advantage, and described special advantage can be: device 101 as described herein does not need other sensor signal except at least one microphone 3.Especially structure-borne sound sensor and rotation rate sensor is absolutely not needed.
At this, described system not only identifies and there is this fact of defect, and automatically classifies to described fault, and also directly can position described fault on described electric tool 1 about position.
After described system is put into operation, therefore also automatically can upgrade the database of described inside, and correspondingly the described mathematical model (namely analytical algorithm) for carrying out fault diagnosis be adjusted.But can imagine equally afterwards and described automatic diagnosis is assessed, described system especially can be adjusted thus and its efficiency can be improved in continuous print runs.If the database 7 at the center of use, so the database at this center just automatically can utilize the reference audio signal preserved in order to the object diagnosed and/or the detail table at the center of data that extracts from described reference audio signal, for tracing trouble.Then can in the moment afterwards in order to the object of adding up be tested and assessed to these information.
The present invention is not limited to by means of embodiment and accompanying drawing description.Or rather, the present invention includes often kind of combination of often kind of new feature and feature, this point especially comprises often kind of combination of the feature in claim, even if this feature or this combination itself are not illustrated clearly in claim or embodiment.
Claims (10)
1. know method for distinguishing (100) for carrying out sign to the fault of at least one electric tool (1),
It is characterized in that,
-come at least temporarily to detect the noise (2A) produced by described electric tool (1) by least one microphone (3) in the process of fault occurring described electric tool (1);
-detected noise (2A) by handling and/or control the system (4) for customer interaction, the system (5) for signal transacting receives described noise (2A) by described microphone (3) with the form of sound signal (2B) by the described system for signal transacting (5) after starting;
-so fault diagnosis is carried out to described noise (2A), thus especially only by received sound signal (2B) and/or especially only the data extracted from described sound signal (2B) are transferred to system (6) for Fault Identification subsequently, wherein
Received sound signal (2B) and/or the described data extracted from described sound signal (2B) are only used for carrying out automatic calibration by the reference audio signal be kept at least one database (7) and/or the data extracted from described reference audio signal by-the described system for Fault Identification (6), thus implement failure modes to the fault of described electric tool (1).
2. by method according to claim 1,
It is characterized in that,
The failure modes of described sound signal (2B) is based upon on the basis of at least one analytical algorithm, described analytical algorithm is stored in the described system (6) for Fault Identification and/or described database (7), wherein comes to implement to divide and/or location to the fault of described electric tool (1) by means of described analytical algorithm.
3. by the method described in claim 1 or 2,
It is characterized in that,
Described microphone (3), the described system for customer interaction (4), the described system for signal transacting (5) and/or the described system for Fault Identification (6) be installed at least one movement, preferably can in the terminal device of connecting Internet.
4. by the method in aforementioned claim described at least one item,
It is characterized in that,
Described database (7) is stored at least one central server (8).
5. by the method in aforementioned claim described at least one item,
It is characterized in that,
The result data (2C) of described failure modes is kept in described database (7), and these results are used for Time dynamic ground and/or sight dynamically adjusts described analytical algorithm.
6. by the method in aforementioned claim described at least one item,
It is characterized in that,
The result data (2C) of data run history to described failure modes by described electric tool (1) is calibrated.
7. by the method in aforementioned claim described at least one item,
It is characterized in that,
Described microphone (3), the described system for customer interaction (4), the described system for signal transacting (5) and/or the described system for Fault Identification (6) and geo-positioning system are among data communication.
8. by the method in aforementioned claim described at least one item,
It is characterized in that,
The described system for signal transacting (5) was edited described sound signal (2B) by means of at least one data filter and/or algorithm wave filter before described sound signal (2B) being sent to the described system (6) for Fault Identification.
9. by the method in aforementioned claim described at least one item,
It is characterized in that,
Input the exclusive parameter of the equipment of described electric tool (1) by means of the described system for customer interaction (4) and/or at least one other interface, the exclusive parameter of wherein said equipment is specifically assigned to corresponding fault category and/or electric tool.
10. for carrying out the device (101) of sign identification to the fault of at least one electric tool (1),
It is characterized in that,
-at least one microphone (3), described microphone is constructed and is arranged for: at least temporarily detect the noise (2A) produced by described electric tool (1) in the process of the fault occurring electric tool (1);
-detected noise (2A) can receive described noise (2A) via described microphone (3) with the form of sound signal (2B) by the system (5) for signal transacting after starting described device (101) by the system (4) handled and/or control for customer interaction;
-and so can carry out fault diagnosis to described noise (2A), thus especially can only by received sound signal (2B) and/or the system (6) that especially can only will be transferred to subsequently from the data extracted in described sound signal (2B) for Fault Identification, wherein
-described the system for Fault Identification (6) is configured to: only by received sound signal (2A) and/or the described data extracted from described sound signal (2B) for carrying out automatic calibration by the reference audio signal preserved at least one database (7) and/or the data extracted from described reference audio signal, thus failure modes is implemented to the fault of described electric tool (1).
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102014207784.2A DE102014207784A1 (en) | 2014-04-25 | 2014-04-25 | Method for symptom detection of malfunction of a power tool |
| DE102014207784.2 | 2014-04-25 |
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| Publication Number | Publication Date |
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| CN105004497A true CN105004497A (en) | 2015-10-28 |
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| CN201510199020.0A Pending CN105004497A (en) | 2014-04-25 | 2015-04-24 | Method for identifying signs of faults occurred to electric tools |
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| Country | Link |
|---|---|
| CN (1) | CN105004497A (en) |
| DE (1) | DE102014207784A1 (en) |
| SE (1) | SE540426C2 (en) |
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| DE102021203297A1 (en) | 2021-03-31 | 2022-10-06 | Robert Bosch Gesellschaft mit beschränkter Haftung | Method for diagnosing a processing device and system for carrying out the method |
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Also Published As
| Publication number | Publication date |
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| DE102014207784A1 (en) | 2015-10-29 |
| SE1550469A1 (en) | 2015-10-26 |
| SE540426C2 (en) | 2018-09-11 |
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