CN115389199A - Method and system for diagnosing abnormal sound of transmission - Google Patents
Method and system for diagnosing abnormal sound of transmission Download PDFInfo
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Abstract
The invention provides a method and a system for diagnosing abnormal sound of a transmission, wherein the method comprises the steps of acquiring abnormal sound data, analyzing whether historical case data matched with the abnormal sound data exist in a historical case database or not, if the historical case data do not exist, carrying out feature calculation on abnormal sound audio to obtain an abnormal sound feature value, and judging whether the abnormal sound feature data matched with the abnormal sound feature value exist in a feature database or not; if not, acquiring vibration, sound and TCU signals and analyzing to obtain data characteristics; judging whether abnormal sound characteristic data matched with the analyzed data characteristics exist in the characteristic database or not; if yes, outputting the abnormal sound reason. According to the abnormal sound diagnosis system, no matter abnormal sound which is difficult to diagnose or common abnormal sound problems are diagnosed, the abnormal sound problems can be diagnosed quickly through the system, diagnosis efficiency is improved, and meanwhile diagnosis accuracy is guaranteed.
Description
Technical Field
The invention relates to the technical field of transmission fault diagnosis, in particular to a method and a system for diagnosing abnormal sound of a transmission.
Background
The automobile transmission is a rotating machine, abnormal sound is abnormal sound generated in the running process of the transmission, the continuous abnormal sound can influence the riding experience of drivers and passengers, discomfort is caused, and the serious abnormal sound can cause vehicle failure and influence the driving safety, so that the reason for timely checking the abnormal sound of the transmission is needed and solved.
Because the structure of the transmission is complex, the reasons of abnormal sound are various, the diagnosis of the abnormal sound of the transmission is difficult, and certain professional knowledge and experience are required. At present, after-sale maintenance personnel generally rely on empirical judgment for diagnosing abnormal sound, and professional engineers are required to find out the reason of the abnormal sound after field test and analysis for the abnormal sound which is difficult to diagnose, so that the timeliness is low, and customer complaints are easily caused. Therefore, for the problem of abnormal noise of the transmission, a quick and effective diagnosis system and method are needed, which can help after-sales maintenance personnel to quickly find out the reason of the abnormal noise and are of great significance for improving the working efficiency and reducing the complaints of customers.
Disclosure of Invention
Therefore, the invention aims to provide a method and a system for diagnosing abnormal sound of a transmission, which are used for solving the technical problems that the accuracy is low due to the fact that the abnormal sound diagnosis of the transmission is generally judged by the experience of after-service maintenance personnel, and the efficiency is low due to the fact that a professional engineer needs to carry out test analysis on the site to diagnose the abnormal sound which is difficult to diagnose in the prior art.
Another aspect of the present invention provides a transmission abnormal sound diagnosis system, including:
the human-computer interaction interface is used for inputting and outputting information so as to facilitate information interaction;
the knowledge acquisition module is connected with the human-computer interaction interface and the knowledge base, and is used for inputting information in the human-computer interaction interface, converting the information into an internal form which can be stored by a computer and storing the internal form in the knowledge base;
the knowledge base is connected with the knowledge acquisition module and the inference machine and comprises a case database and a characteristic database, the case database comprises abnormal sound case data, the abnormal sound case data comprises a transmission rack abnormal sound case and a finished automobile abnormal sound case, the characteristic database comprises abnormal sound characteristic data, and the abnormal sound characteristic data comprises vibration data characteristics, sound data characteristics and transmission TCU signal characteristics;
the inference machine is respectively connected with the knowledge base, the interpreter and the database and is used for calling the fact and abnormal sound diagnosis rules in the knowledge base according to the existing parameters or user input so as to diagnose the abnormal sound;
the database is respectively connected with the inference machine and the interpreter and used for storing working data, and the working data comprises abnormal sound inference processes, message records and historical data of abnormal sound diagnosis;
the interpreter is used for outputting the diagnosis result of the inference engine to a user through a human-computer interaction interface in an agreed form;
and the network interface is connected with the network and is used for receiving and updating the change information and the professional knowledge of the transmission parts, and remotely communicating with experts and upgrading the algorithm.
The invention provides a speed changer abnormal sound diagnosis method which is realized by adopting the speed changer abnormal sound diagnosis system and is particularly applied to an inference machine, wherein the method comprises the following steps:
acquiring abnormal sound data, wherein the abnormal sound data comprises abnormal sound audio and abnormal sound character description;
analyzing whether historical case data matched with the abnormal sound data exist in the historical case database or not according to the historical case data in the historical case database, wherein the analyzing method comprises tone analysis and frequency analysis;
if the abnormal sound audio frequency does not exist, performing characteristic calculation on the abnormal sound audio frequency to obtain an abnormal sound characteristic value, wherein the characteristic calculation method comprises fast Fourier transform and envelope spectrum analysis;
judging whether abnormal sound characteristic data matched with the abnormal sound characteristic value exists in a characteristic database or not according to the abnormal sound characteristic data in the characteristic database;
if the test data does not exist, obtaining test data, wherein the test data comprises vibration, sound and TCU signals, and analyzing data characteristics of the vibration, the sound and the TCU signals;
judging whether abnormal sound characteristic data matched with the analyzed data characteristics exist in the characteristic database or not according to the abnormal sound characteristic data in the characteristic database;
if yes, the abnormal sound reason is output.
In addition, according to the abnormal sound diagnosis method for the transmission of the present invention, the following additional technical features may be provided:
further, after the step of judging whether abnormal sound feature data matched with the analyzed data features exists in the feature database according to the abnormal sound feature data in the feature database, the method further comprises the following steps:
and if abnormal sound characteristic data matched with the analyzed data characteristics do not exist, analyzing the reason of the abnormal sound according to the analyzed data characteristics.
Further, the step of analyzing the abnormal sound reason according to the analyzed data characteristics further includes:
establishing new abnormal sound case data according to the abnormal sound reasons obtained by analysis;
and incorporating the established new abnormal sound case data into a knowledge base to update the knowledge base.
Further, after the step of analyzing whether there is a history case data matching with the abnormal sound data in the history case database according to the history case data in the history case database, the method further includes:
and if the historical case data matched with the abnormal sound data exists, outputting the reason of the abnormal sound.
Further, after the step of judging whether abnormal sound feature data matched with the abnormal sound feature value exists in the feature database according to the abnormal sound feature data in the feature database, the method further comprises the following steps:
and if abnormal sound characteristic data matched with the abnormal sound characteristic value exist, outputting the reason of the abnormal sound.
Further, the step of judging whether abnormal sound characteristic data matched with the analyzed data characteristics exist in the characteristic database or not according to the abnormal sound characteristic data in the characteristic database comprises the following steps:
obtaining an analysis result, and performing data comparison on the analysis result and abnormal sound characteristic data in a characteristic database;
and judging whether abnormal sound characteristic data matched with the analysis result exist or not according to the abnormal sound characteristic data.
Further, in the step of obtaining abnormal sound data, the abnormal sound data of each case includes abnormal sound audio information and abnormal sound character information corresponding to the abnormal sound audio information.
Further, the step of outputting the abnormal sound reason according to the feature data matched with the analyzed data features comprises:
acquiring abnormal sound case data according to the feature data matched with the analyzed data features, wherein the abnormal sound case data is matched with the feature data matched with the analyzed data features;
and determining and outputting the abnormal sound reason according to the abnormal sound case data.
Further, the method for outputting the abnormal sound reason comprises the following steps:
and outputting the abnormal sound reason in a text and graphic mode.
According to the abnormal sound diagnosis method for the transmission, by establishing the abnormal sound diagnosis system for the transmission, the abnormal sound problem can be quickly diagnosed by the system no matter the abnormal sound problem difficult to diagnose or the common abnormal sound problem, the diagnosis accuracy is guaranteed while the diagnosis efficiency is improved, and the technical problems that in the prior art, the accuracy is low due to the fact that the abnormal sound diagnosis of the transmission is generally judged by the experience of after-sales maintenance personnel, and the efficiency is low due to the fact that a special engineer needs to test and analyze on the spot to diagnose the abnormal sound for the abnormal sound difficult to diagnose are solved; specifically, a knowledge base and a database are established, abnormal sound data can be diagnosed through a case database and a feature database in the knowledge base, specifically, a user can diagnose through inputting recorded abnormal sound audio, and the workload of data testing is reduced; the abnormal sound problem which cannot be diagnosed only through audio frequency is diagnosed and analyzed through collecting vibration, sound and TCU signals to obtain the reason of the abnormal sound.
Drawings
FIG. 1 is a system diagram of a transmission abnormal sound diagnostic system in accordance with a first embodiment of the present invention;
FIG. 2 is a schematic diagram of a knowledge base of the present invention;
FIG. 3 is a schematic representation of a transmission abnormal sound fault tree of the present invention;
FIG. 4 is a schematic diagram of case base establishment according to the present invention;
FIG. 5 is a flowchart of a method for diagnosing transmission abnormal noise according to a second embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
To facilitate an understanding of the invention, the invention will now be described more fully with reference to the accompanying drawings. Several embodiments of the invention are presented in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
In the application, abnormal sound audio is rapidly recorded on site; importing a system and inputting abnormal sound character description; analyzing parameters such as tone, frequency and the like of the abnormal sound audio and the matching degree of the abnormal sound description characters and the cases in the case library, and if the parameters are matched, outputting reasons of the abnormal sound; if not, carrying out feature calculation (such as envelope spectrum, fast Fourier transform and the like) on the abnormal sound audio to obtain an abnormal sound feature value, and analyzing the matching degree of the abnormal sound feature and feature data in a fault feature library; if the abnormal sound is matched with the abnormal sound, outputting the reason of the abnormal sound; if the audio and the text descriptions are not matched, the failure causes are not enough to be diagnosed only according to the audio and the text descriptions, and then detailed data testing is needed; testing vibration, sound and TCU signals and leading the signals into a system; analyzing characteristics of the vibration, sound and TCU signals; and analyzing the matching degree of the signal characteristics and certain fault characteristics in the fault characteristic library, and if the signal characteristics are matched with the certain fault characteristics in the fault characteristic library, outputting the abnormal sound reasons. By establishing the abnormal sound diagnosis system of the transmission, no matter the abnormal sound problem difficult to diagnose or the common abnormal sound problem, the abnormal sound problem can be quickly diagnosed through the system, the diagnosis accuracy is ensured while the diagnosis efficiency is improved, and the technical problems that in the prior art, the accuracy is low due to the fact that the abnormal sound diagnosis of the transmission is generally judged by the experience of after-service maintenance personnel, and the efficiency is low due to the fact that a special engineer needs to test and analyze on the site to diagnose the abnormal sound are solved.
Example one
Referring to fig. 1, a transmission abnormal sound diagnostic system according to a first embodiment of the present invention is shown, including:
the human-computer interaction interface is used for inputting and outputting information so as to facilitate information interaction;
the knowledge acquisition module is connected with the human-computer interaction interface and the knowledge base, and is used for inputting information in the human-computer interaction interface, converting the information into an internal form which can be stored by a computer and storing the internal form in the knowledge base;
the knowledge base is connected with the knowledge acquisition module and the inference machine and comprises a case database and a characteristic database, the case database comprises abnormal sound case data, the abnormal sound case data comprises a transmission rack abnormal sound case and a finished automobile abnormal sound case, the characteristic database comprises abnormal sound characteristic data, and the abnormal sound characteristic data comprises vibration data characteristics, sound data characteristics and transmission TCU signal characteristics;
the inference machine is respectively connected with the knowledge base, the interpreter and the database and is used for calling the fact and abnormal sound diagnosis rules in the knowledge base according to the existing parameters or user input so as to diagnose the abnormal sound;
the database is respectively connected with the inference machine and the interpreter and used for storing working data, and the working data comprises abnormal sound inference processes, message records and historical data of abnormal sound diagnosis;
the interpreter is used for outputting the diagnosis result of the inference machine to a user through a human-computer interaction interface in an appointed form;
and the network interface is connected with the network and used for receiving and updating the change information and the professional knowledge of the transmission parts, and is in remote communication with experts and upgrading the algorithm.
The embodiment provides a transmission abnormal sound diagnosis system which comprises a network interface, a man-machine interaction interface, a knowledge acquisition module, a knowledge base, a database, an inference machine and an interpreter. The system is connected with a network through a network interface, the change information and the professional knowledge of the transmission parts are updated regularly, and a user communicates with an expert remotely and upgrades a diagnostic algorithm.
A user inputs the professional knowledge (fault characteristic knowledge and case) of the transmission into the system through a man-machine interaction interface, information interaction among all modules of the system is realized, and input and output work is completed.
The knowledge acquisition module acquires professional knowledge input to the human-computer interaction interface, converts the professional knowledge into an internal form which can be stored by a computer, and stores the internal form into a knowledge base.
The knowledge base is respectively connected with the inference engine and the knowledge acquisition module, and comprises case data and feature data, which are shown in figure 2. The characteristic database is the characteristic data of vibration and sound of various abnormal sounds of the transmission, is established according to a fault number analysis method, and infers the fault reason according to reverse thinking logic. The fault tree takes the fault which is not expected to occur in the system as a top event, finds out all intermediate events which can cause the top event to occur, then finds out all factors which cause the intermediate events to occur, traces back to a bottom event which causes the fault according to the mode, and connects the top event and the bottom event by using a logical relation, so that the fault tree is formed. The abnormal noise characteristic library is constructed as shown in fig. 3, the abnormal noise of the transmission can be caused by hardware failure or software abnormality, the hardware failure can be caused by gear abrasion, the gear comprises a plurality of gear pairs of 1 to 5 gears and the like, and each gear pair comprises a driving gear and a driven gear. The failure of the driving gear and the driven gear to wear is the bottom event. Similarly, other faults such as bearing abrasion, oil pump fault, clutch fault and shaft end abrasion are established into a complete connection relation according to the mode. Case data are abnormal sound case data. The case data is built in a case database, as shown in fig. 4, each case includes audio data and a text description corresponding to the audio data. Case data acquisition sources include:
abnormal sound faults of the transmission accumulated at the early stage or abnormal sound fault cases obtained by artificially introducing different faults on a test prototype; cases which are diagnosed and stored by the system; and the cases on the Internet are stored in the case library through screening. With the continuous expansion of case data, the diagnosis accuracy is also continuously improved.
The database is respectively connected with the interpreter and the inference machine and is used for storing data including abnormal sound inference processes, message records and abnormal sound diagnosis histories.
Algorithms such as data analysis, machine learning and the like are integrated in the inference engine, and when a user inputs a text description and an abnormal sound audio file, the inference engine calls a case and an abnormal sound diagnosis rule in the case to diagnose the abnormal sound. When the user introduces the tested vibration, sound and TCU signal, the inference engine calls the data in the feature library and the abnormal sound diagnosis rule to diagnose the abnormal sound.
And the interpreter outputs the abnormal sound reasons to the user through a man-machine interaction interface in the forms of characters, diagrams and the like according to the diagnosis result of the inference machine.
Specifically, the feature database is established according to a fault tree analysis method, and fault reasons are inferred according to reverse thinking logic. The fault tree takes the fault which is not expected to occur in the system as a top event, finds out all intermediate events which can cause the top event to occur, then finds out all factors which cause the intermediate events to occur, traces back to a bottom event which causes the fault according to the mode, and connects the top event and the bottom event by using a logical relation, so that the fault tree is formed. Case data is established in a case database (abbreviated as case database), and the case data acquisition sources comprise: abnormal sound faults of the transmission accumulated at the early stage or abnormal sound fault cases obtained by artificially introducing different faults on a test prototype; cases are diagnosed and stored by using the system; and the cases on the Internet are saved in a case database through screening. With the continuous expansion of the case database, the diagnosis accuracy is also continuously improved.
The characteristic database in the knowledge base stores data of vibration data characteristics, sound data characteristics and transmission TCU signal characteristics. The data stored in the case database are abnormal sound cases of the transmission rack and abnormal sound cases of the whole vehicle, and comprise audio data and text descriptions corresponding to the audio data.
In summary, in the transmission abnormal sound diagnosis system in the above embodiment of the present invention, by establishing the transmission abnormal sound diagnosis system, no matter the abnormal sound or the general abnormal sound problem which is difficult to diagnose, the abnormal sound problem can be quickly diagnosed by the system, so that the diagnosis accuracy is ensured while the diagnosis efficiency is improved, and the technical problems in the prior art that the accuracy is low because the transmission abnormal sound diagnosis is generally judged by the experience of after-sales maintenance personnel, and the efficiency is low because the abnormal sound which is difficult to diagnose needs a professional engineer to perform test analysis on the site to diagnose the abnormal sound are solved; specifically, a knowledge base and a database are established, abnormal sound data can be diagnosed through a case database and a feature database in the knowledge base, specifically, a user can diagnose through inputting recorded abnormal sound audio, and the workload of data testing is reduced; the abnormal sound problem which cannot be diagnosed only through the audio frequency is diagnosed and analyzed through collecting vibration, sound and TCU signals to obtain the reason of the abnormal sound.
Example two
Referring to fig. 5, a method for diagnosing abnormal noise of a transmission according to a second embodiment of the present invention is shown, and the method includes steps S201 to S207:
s201, abnormal sound data are obtained, and the abnormal sound data comprise abnormal sound audio and abnormal sound character description.
The abnormal sound data of each case comprises abnormal sound audio information and abnormal sound character information corresponding to the abnormal sound audio information. The user firstly describes the observed abnormal sound phenomenon by detailed characters or records the audio frequency when the abnormal sound occurs by a mobile phone and the like without collecting vibration, noise and TCU signals, thereby reducing the workload. And inputting the text description or abnormal sound audio data into the system according to the prompt of the human-computer interaction interface.
S202, whether historical case data matched with abnormal sound data exist in the historical case database or not is analyzed according to the historical case data in the historical case database.
Specifically, the analysis method includes a tone analysis and a frequency analysis.
If not, go to step S203;
if yes, go to step S207;
and S203, carrying out characteristic calculation on the abnormal sound audio to obtain an abnormal sound characteristic value.
Specifically, the feature calculation method includes fast fourier transform and envelope spectrum analysis.
And S204, judging whether abnormal sound characteristic data matched with the abnormal sound characteristic value exists in the characteristic database or not according to the abnormal sound characteristic data in the characteristic database.
If not, go to step S205;
if yes, go to step S207;
s205, test data are obtained, the test data comprise vibration, sound and TCU signals, and data characteristics of the vibration, the sound and the TCU signals are analyzed.
And S206, judging whether abnormal sound characteristic data matched with the analyzed data characteristics exist in the characteristic database or not according to the abnormal sound characteristic data in the characteristic database.
Specifically, an analysis result is obtained, and the analysis result is compared with abnormal sound characteristic data in a characteristic database; and judging whether abnormal sound characteristic data matched with the analysis result exist or not according to the abnormal sound characteristic data.
If yes, go to step S207;
and S207, outputting the abnormal sound reason.
Specifically, abnormal sound case data are obtained according to feature data matched with the analyzed data features, and the abnormal sound case data are matched with the feature data matched with the analyzed data features; and determining and outputting the abnormal sound reason according to the abnormal sound case data. Furthermore, the abnormal sound reason is output in a text and graphic mode.
As a specific example, if there is no abnormal sound feature data matching the analyzed data feature, it indicates that the abnormal sound feature data matching the analyzed data feature is not included in the knowledge base in the transmission abnormal sound diagnosis system at this time, and the analyzed data feature belongs to the novel abnormal sound data, and at this time, the reason for the abnormal sound is manually analyzed according to the analyzed data feature; establishing new abnormal sound case data according to the abnormal sound reasons obtained by analysis; and incorporating the established new abnormal sound case data into a knowledge base to update the knowledge base. With the continuous expansion of the case database, the algorithm is continuously updated and iterated, and the accuracy of abnormal sound diagnosis is continuously improved.
The knowledge base of the invention establishes a case database and a characteristic database at the same time, and diagnosis can be carried out through the case database and the characteristic database. The user can firstly diagnose by inputting the recorded abnormal sound audio, thereby reducing the workload of data test. And for abnormal sound which cannot be diagnosed through the case database, vibration and noise data acquisition is required. Along with the continuous expansion of the case database, the algorithm is continuously updated and iterated, and the diagnosis accuracy of abnormal sound is continuously improved. Through the abnormal sound diagnosis system of the transmission, the abnormal sound problem which is difficult to diagnose originally can be quickly identified, the professional threshold of abnormal sound diagnosis is reduced, and the abnormal sound diagnosis system has important significance for quickly diagnosing the abnormal sound after sale.
In summary, in the method for diagnosing the abnormal sound of the transmission in the above embodiment of the present invention, by establishing the system for diagnosing the abnormal sound of the transmission, no matter the abnormal sound or the general abnormal sound problem which is difficult to diagnose, the abnormal sound problem can be quickly diagnosed by the system, so that the diagnosis accuracy is ensured while the diagnosis efficiency is improved, and the technical problems in the prior art that the diagnosis of the abnormal sound of the transmission is generally judged by the experience of after-sales maintenance personnel, which results in low accuracy, and the abnormal sound which is difficult to diagnose needs a professional engineer to perform test analysis on the site to diagnose the abnormal sound, which results in low efficiency, are solved; specifically, a knowledge base and a database are established, abnormal sound data can be diagnosed through a case database and a feature database in the knowledge base, specifically, a user can diagnose through inputting recorded abnormal sound audio, and the workload of data testing is reduced; the abnormal sound problem which cannot be diagnosed only through audio frequency is diagnosed and analyzed through collecting vibration, sound and TCU signals to obtain the reason of the abnormal sound.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A transmission abnormal sound diagnostic system characterized by comprising:
the human-computer interaction interface is used for inputting and outputting information so as to facilitate information interaction;
the knowledge acquisition module is connected with the human-computer interaction interface and the knowledge base, and is used for inputting information in the human-computer interaction interface, converting the information into an internal form which can be stored by a computer and storing the internal form in the knowledge base;
the knowledge base is connected with the knowledge acquisition module and the inference machine and comprises a case database and a characteristic database, the case database comprises abnormal sound case data, the abnormal sound case data comprises a transmission rack abnormal sound case and a finished automobile abnormal sound case, the characteristic database comprises abnormal sound characteristic data, and the abnormal sound characteristic data comprises vibration data characteristics, sound data characteristics and transmission TCU signal characteristics;
the inference machine is respectively connected with the knowledge base, the interpreter and the database and is used for calling the fact and abnormal sound diagnosis rules in the knowledge base according to the existing parameters or user input so as to diagnose the abnormal sound;
the database is respectively connected with the inference engine and the interpreter and used for storing working data, wherein the working data comprises abnormal sound inference processes, message records and historical data of abnormal sound diagnosis;
the interpreter is used for outputting the diagnosis result of the inference machine to a user through a human-computer interaction interface in an appointed form;
and the network interface is connected with the network and is used for receiving and updating the change information and the professional knowledge of the transmission parts, and remotely communicating with experts and upgrading the algorithm.
2. A transmission abnormal sound diagnosis method, which is implemented by the transmission abnormal sound diagnosis system of claim 1 and is applied to an inference engine, and comprises:
acquiring abnormal sound data, wherein the abnormal sound data comprises abnormal sound audio and abnormal sound character description;
analyzing whether historical case data matched with the abnormal sound data exist in the historical case database or not according to the historical case data in the historical case database, wherein the analyzing method comprises tone color analysis and frequency analysis;
if the abnormal sound audio frequency does not exist, performing characteristic calculation on the abnormal sound audio frequency to obtain an abnormal sound characteristic value, wherein the characteristic calculation method comprises fast Fourier transform and envelope spectrum analysis;
judging whether abnormal sound characteristic data matched with the abnormal sound characteristic value exists in a characteristic database or not according to the abnormal sound characteristic data in the characteristic database;
if the test data does not exist, obtaining test data, wherein the test data comprises vibration, sound and TCU signals, and analyzing data characteristics of the vibration, the sound and the TCU signals;
judging whether abnormal sound characteristic data matched with the analyzed data characteristics exist in the characteristic database or not according to the abnormal sound characteristic data in the characteristic database;
if yes, outputting the abnormal sound reason.
3. The method for diagnosing abnormal noise in a transmission according to claim 2, wherein the step of determining whether abnormal noise feature data matching the analyzed data features exists in the feature database based on the abnormal noise feature data in the feature database further includes, after the step of:
and if abnormal sound characteristic data matched with the analyzed data characteristics do not exist, analyzing the reason of the abnormal sound according to the analyzed data characteristics.
4. The method of claim 3, wherein the step of analyzing the cause of the abnormal noise according to the analyzed data characteristics further comprises:
establishing new abnormal sound case data according to the abnormal sound reasons obtained by analysis;
and incorporating the established new abnormal sound case data into a knowledge base to update the knowledge base.
5. The method of diagnosing transmission abnormal noise according to claim 2, wherein the step of analyzing whether there is a history case data matching the abnormal noise data in a history case database based on the history case data in the history case database further comprises:
and if the historical case data matched with the abnormal sound data exists, outputting the reason of the abnormal sound.
6. The abnormal sound diagnostic method for a transmission according to claim 2, wherein the step of determining whether abnormal sound feature data matching the abnormal sound feature value exists in the feature database based on the abnormal sound feature data in the feature database further includes:
and if abnormal sound characteristic data matched with the abnormal sound characteristic value exist, outputting the reason of the abnormal sound.
7. The method according to claim 2, wherein the step of determining whether abnormal noise feature data matching the analyzed data features exists in the feature database based on the abnormal noise feature data in the feature database includes:
obtaining an analysis result, and performing data comparison on the analysis result and abnormal sound characteristic data in a characteristic database;
and judging whether abnormal sound characteristic data matched with the analysis result exist or not according to the abnormal sound characteristic data.
8. The transmission abnormal sound diagnosis method according to claim 2, wherein in the step of acquiring abnormal sound data, the abnormal sound data of each case includes abnormal sound audio information and abnormal sound text information corresponding to the abnormal sound audio information.
9. The transmission abnormal sound diagnosis method according to claim 2, wherein the step of outputting the cause of the abnormal sound based on the characteristic data matched with the analyzed data characteristic includes:
acquiring abnormal sound case data according to the feature data matched with the analyzed data features, wherein the abnormal sound case data is matched with the feature data matched with the analyzed data features;
and determining and outputting the abnormal sound reason according to the abnormal sound case data.
10. The transmission abnormal noise diagnosis method according to claim 2, wherein the method of outputting the cause of the abnormal noise includes:
and outputting the reason of the abnormal sound in a text and graphic mode.
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