CN106646050A - Fault diagnosis device and method for wind power converter - Google Patents
Fault diagnosis device and method for wind power converter Download PDFInfo
- Publication number
- CN106646050A CN106646050A CN201611217301.5A CN201611217301A CN106646050A CN 106646050 A CN106646050 A CN 106646050A CN 201611217301 A CN201611217301 A CN 201611217301A CN 106646050 A CN106646050 A CN 106646050A
- Authority
- CN
- China
- Prior art keywords
- fault
- signal
- sequential
- failure
- electric converter
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000003745 diagnosis Methods 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000001514 detection method Methods 0.000 claims description 26
- 238000004891 communication Methods 0.000 claims description 16
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 230000001360 synchronised effect Effects 0.000 claims description 9
- 230000004888 barrier function Effects 0.000 claims description 8
- 238000012163 sequencing technique Methods 0.000 claims description 7
- 230000005611 electricity Effects 0.000 claims description 4
- 230000007547 defect Effects 0.000 abstract 1
- 238000012423 maintenance Methods 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 8
- 230000006870 function Effects 0.000 description 5
- 230000004927 fusion Effects 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000005070 sampling Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
- Control Of Eletrric Generators (AREA)
Abstract
Provided are a fault diagnosis device and a fault diagnosis method for a wind power converter, wherein the fault diagnosis device comprises: the fault acquisition module is used for acquiring a fault signal of the wind power converter; the time sequence fault generating module is used for adding a time sequence to the fault signal obtained by the fault acquisition module; and the expert library module is used for carrying out fault diagnosis according to the fault signals added with the time sequence. According to the fault diagnosis equipment and the fault diagnosis method, the defects caused by judgment of maintenance personnel through experience can be reduced or avoided; the fault signals can be sequentially analyzed according to the sequence expressed by the time sequence to diagnose the fault, so that the fault reason can be more accurately found out; the fault signals which are generated firstly and have representative significance can be selected according to the time sequence and analyzed firstly, so that the fault reason can be found out more quickly.
Description
Technical field
All things considered of the present invention is related to wind electric converter technical field, more particularly, is related to a kind of wind electric converter
Failure diagnosis apparatus and method for diagnosing faults.
Background technology
Wind electric converter is typically controlled by distributed director or centerized fusion device.Whenever wind electric converter occurs event
Barrier is shut down, and distributed director or centerized fusion device can obtain multiple failure letters from multiple parts of wind electric converter
Number.
Processed for tracing trouble and accordingly, needed attendant by virtue of experience tracing trouble reason and/or event
Barrier type.However, the composition portion of wind electric converter that fault-signal can be derived from because of the different and fault-signal of wind electric converter
The experience level of the different and different and different attendant for dividing is also different, and this brings to fault diagnosis and troubleshooting
Difficulty.
In addition, there is no obvious logical relation between the plurality of fault-signal, and individually consider each fault-signal
The judgement of mistake is easily produced, this equally brings difficulty to fault diagnosis and troubleshooting.
Accordingly, it would be desirable to a kind of depend on not too much attendant's experience and can produce the multiple failures with logical relation
Signal simultaneously carries out the apparatus and method of fault diagnosis according to the fault-signal for producing.
The content of the invention
The exemplary embodiment of the present invention is to provide failure diagnosis apparatus and the fault diagnosis side of a kind of wind electric converter
Method, at least solves above-mentioned technical problem and above NM other technical problems, and provides following beneficial effects.
A kind of exemplary embodiment of the invention, there is provided failure diagnosis apparatus of wind electric converter, wherein, the event
Barrier diagnostic device includes:
Fault collection module, for obtaining the fault-signal of wind electric converter;
Timing failure generation module, for the fault-signal addition sequential obtained for the fault collection module;
Expert database module, for carrying out fault diagnosis according to the fault-signal for being added with sequential.
Alternatively, the timing failure generation module obtains the sequencing of fault-signal according to the fault collection module
For the fault-signal addition sequential that the fault collection module is obtained.
Alternatively, the fault collection module obtains wind-powered electricity generation unsteady flow from the distributed director for being used to control wind electric converter
The fault-signal of device.
Alternatively, the fault collection module obtains detection signal from wind electric converter, whether judges the detection signal
It is abnormal, when the detection signal is abnormal, produce the fault-signal of wind electric converter.
Alternatively, the failure diagnosis apparatus also include:
Contingency ranking module, for being ranked up to the fault-signal for being added with sequential, wherein,
The expert database module according to sequence after one or more fault-signals for being added with sequential carry out fault diagnosis.
Alternatively, the failure diagnosis apparatus also include:
Experts database generation module, for generating experts database, wherein, the experts database includes both corresponding relations following:
The band timing failure signal being made up of at least one fault-signal with sequential is combined, and failure diagnosis information, wherein,
The expert database module includes fault message retrieval unit, for from expert's library searching with by being added with sequential
The fault-signal of fault-signal composition combine corresponding failure diagnosis information.
Alternatively, the fault collection module is obtained in the way of synchronous communication or asynchronous communication from the distributed director
Obtain the fault-signal of wind electric converter.
A kind of exemplary embodiment of the invention, there is provided method for diagnosing faults of wind electric converter, wherein, the event
Barrier diagnostic method includes:
Obtain the fault-signal of wind electric converter;
For the fault-signal addition sequential for obtaining;
Fault-signal according to sequential is added with carries out fault diagnosis.
Alternatively, the step of fault-signal for acquisition adds sequential includes:
Sequencing according to fault-signal is obtained is the fault-signal addition sequential for obtaining.
Alternatively, the step of fault-signal of the acquisition wind electric converter includes:
From the fault-signal that wind electric converter is obtained for the distributed director that controls wind electric converter.
Alternatively, the step of fault-signal of the acquisition wind electric converter includes:
Detection signal is obtained from wind electric converter, judges whether the detection signal is abnormal, when the detection signal exception
When, produce the fault-signal of wind electric converter.
Alternatively, the method for diagnosing faults also includes:
Fault-signal to being added with sequential is ranked up, wherein,
The basis is added with the step of the fault-signal of sequential carries out fault diagnosis to be included:
One or more fault-signals for being added with sequential after according to sequence carry out fault diagnosis.
Alternatively, the method for diagnosing faults also includes:
Experts database is generated, wherein, the experts database includes both corresponding relations following:By at least one event with sequential
The band timing failure signal combination of barrier signal composition, and failure diagnosis information, wherein,
The basis is added with the step of the fault-signal of sequential carries out fault diagnosis to be included:From expert's library searching with
The fault-signal being made up of the fault-signal for being added with sequential combines corresponding failure diagnosis information.
Alternatively, the event of wind electric converter is obtained from the distributed director in the way of synchronous communication or asynchronous communication
Barrier signal.
In the failure diagnosis apparatus and method for diagnosing faults of wind electric converter according to an exemplary embodiment of the present invention:Can
Add sequential for fault-signal, and fault diagnosis is carried out according to the fault-signal for being added with sequential automatically.With the addition of sequential
There is logical relation between multiple fault-signals, therefore, fault diagnosis is carried out based on the multiple fault-signals that there is logical relation,
Each fault-signal can be considered, so that fault diagnosis result is more accurate.
Meanwhile, pre-recorded failure diagnosis information can be obtained by retrieving experts database, so as to people can be reduced or avoided
Member by virtue of experience diagnosed brought the drawbacks of being difficult to tracing trouble;Attendant's analysis fault-signal is not needed, so as to
Human cost is saved, the issuable error of Artificial Diagnosis can be also reduced or avoided.
Further, since it is in close relations between the fault-signal for first producing and the source of trouble, therefore, according to the sequential of addition,
The fault-signal for first producing can be first analyzed, on this basis, be analyzed after the fault-signal to rear generation, so as to by
Failure cause is gradually approached, compared with the fault diagnosis scheme for independently considering uncorrelated each fault-signal, can be more accurate
Carry out failure cause positioning.Using the fault diagnosis scheme of the present invention, often through one or two fault-signal for first producing
Failure cause can be just oriented, efficiency is improve, the drawbacks of product can be analyzed more quickly, is changed so as to product renewing can be accelerated
The process in generation.
To partly illustrate the other aspect of present general inventive concept and/or advantage in following description, also one
Divide and be will be apparent by description, or can learn through the enforcement of present general inventive concept.
Description of the drawings
By the description carried out with reference to the accompanying drawing for being exemplarily illustrated embodiment, exemplary embodiment of the present it is upper
State and be will become apparent with other purposes and feature, wherein:
Fig. 1 illustrates the failure diagnosis apparatus of the wind electric converter for being applied to distributed AC servo system according to an embodiment of the invention
Schematic diagram;
Fig. 2 illustrates the failure diagnosis apparatus of the wind electric converter for being applied to centerized fusion according to an embodiment of the invention
Schematic diagram;
Fig. 3 illustrates the flow chart of the method for diagnosing faults of the wind electric converter of exemplary embodiment of the invention;
Fig. 4 illustrates the schematic diagram of experts database generating process according to an embodiment of the invention;
Fig. 5 illustrates the schematic diagram of fault message retrieving according to an embodiment of the invention.
Specific embodiment
Embodiments of the invention are reference will now be made in detail, the example of the embodiment is shown in the drawings, wherein, identical mark
Number identical part is referred to all the time.The embodiment below will be illustrated by referring to accompanying drawing, to explain the present invention.
Fig. 1 illustrates the failure diagnosis apparatus of the wind electric converter for being applied to distributed AC servo system according to an embodiment of the invention
Schematic diagram.
As shown in figure 1, impeller 101, magneto 102, pusher side breaker 103, pusher side rectifier 104, brake unit
105th, net side inverter 106, unit personal electrical circuit 107, net side breaker 108 and electrical network is sequentially connected.The present embodiment
Wind electric converter at least includes:Pusher side rectifier 104, brake unit 105 and net side inverter 106.Pusher side rectifier 104,
Brake unit 105 and net side inverter 106 are respectively by holding wire and pusher side commutation controller 121, brake unit controller
122 and net side circuit control device 123 connect.Pusher side commutation controller 121, brake unit controller 122 and net side
Circuit control device 123 is distributed director, for realizing the control and communication of the corresponding part to wind electric converter
Function, and be connected with failure diagnosis apparatus 110 by communication bus.
Failure diagnosis apparatus 110 may include:Fault collection module 111, timing failure generation module 112 and experts database
Module 114.Preferably, failure diagnosis apparatus 110 may also include contingency ranking module 113.
Fault collection module 111 is used to obtain the fault-signal of wind electric converter, it is preferable that from pusher side commutation controller
121st, at least one of brake unit controller 122 and net side circuit control device 123 obtain the failure of wind electric converter
Signal.
Distributed director can be by modes such as sampled measurements from part (for example, the pusher side rectification of wind electric converter
Device 104, brake unit 105, net side inverter 106) obtain detection signal.Then, distributed director can determine whether the detection letter
It is number whether abnormal, when the detection signal is abnormal, fault-signal is produced, and the fault-signal of generation is passed through in the very first time
Communication bus is sent to failure diagnosis apparatus 110.As shown in figure 1, can by failure 1 to failure n (n be natural number) more than 1 with
The form of fault-signal is sent to fault collection module 111.
Specifically, distributed director is by holding wire and controlled device (that is, the part of wind electric converter, example
Such as, pusher side rectifier 104, brake unit 105, net side inverter 106) connection, sampling monitoring is carried out to controlled device, examined
Survey signal.Then judge whether detection signal is abnormal, when an abnormality is discovered, produce fault-signal, and fault-signal is uploaded to
The fault collection module 111 of failure diagnosis apparatus 110.For example, can be to the DC voltage of controlled device, alternating voltage, alternating current
Stream, drive signal, humidity value, temperature value etc. carry out sample detecting.Judging the criterion of abnormal signal includes:Overvoltage, mistake
Stream, driving malfunction, humidity over limit, temperature exceeding standard etc..For example, when detection signal is analog signalses, if analog signalses
Beyond threshold value, then detection signal exception is judged;When detection signal be on-off model when, if on-off model reach it is default
Switching value, then judge detection signal exception.
Alternatively, can realize that fault collection module 111, timing failure is produced using clock synchronizer controller or similar mode
Raw module 112 and expert database module 114, can also realize fault collection module 111 and timing failure using clock synchronizer controller
Generation module 112 and expert database module 114 is realized by the controller in addition to clock synchronizer controller.Clock is synchronously controlled
Device processed adopts single clock, and in each sampling period accurate clock can be obtained, and can be fault-signal within the sampling period
(fault-signal for for example obtaining from distributed director) is assigned to sequential.The operation for being assigned to sequential can be by timing failure generation module
112 realize.The sequential can be clock signal, preferably, be accurate to the clock signal of Millisecond.The sequential can also be table
Show character string, symbol of time order and function order etc., it is preferable that character string includes sequence number, for example, numeral 1 to n, n is nature
Number.So, in single failure stopping process, the fault-signal obtained from distributed director can be made all to be assigned to sequential, just
In the contrast that time order and function is carried out according to sequential, and realize the arrangement according to sequential to fault-signal.
As an example, timing failure generation module 112 obtains the sequencing of fault-signal according to fault collection module 111
For the fault-signal addition sequential that fault collection module 111 is obtained.Also just tell the truth, the fault-signal for first obtaining is endowed the time and exists
Front sequential, the fault-signal for obtaining afterwards is endowed time posterior sequential.
Used as the replacement to clock synchronizer controller, fault collection module 111 is in the way of synchronous communication from distributed control
Device processed obtains the fault-signal of wind electric converter.Synchronous communication is a kind of bit synchronous communication technology, it is desirable to which receiving-transmitting sides have
With frequency, the synchronizing clock signals of homophase.For example, specific synchronization character is added in the foremost of transmission message, you can make transmitting-receiving
Both sides' clock synchronization, then, just can by turn be transmitted under the control of synchronizing clock signals or receive.In the present embodiment,
Led to by the way of synchronous communication between each distributed director and between distributed director and failure diagnosis apparatus 110
Letter, so, it is ensured that be assigned to sequential for fault-signal under identical clock.
As described above, the fault-signal addition sequential that timing failure generation module 112 is fault collection module 111 to be obtained,
To produce one group of fault-signal for being added with sequential, also referred to as band timing failure signal combination for example, represents net side inverter mistake
The fault-signal of stream carries sequential 1;The fault-signal for representing net side fuse failure carries sequential 2;Represent net side inverter (device
Part) fault-signal of failure carries sequential 3, the composition band timing failure signals combination of these three fault-signals.Timing failure is produced
Module 112 can will be sent to expert database module 114 to carry out fault diagnosis with the combination of timing failure signal.
As an example, timing failure generation module 112 can will be sent to contingency ranking module with the combination of timing failure signal
113.The band timing failure signals combination of contingency ranking module 113 pairs is ranked up, and by the band timing failure signal group after sequence
Conjunction is sent to expert database module 114.As shown in figure 1, can (n be more than 1 by the failure of sequential 1 of signal form to sequential n failure
Natural number) it is sent to expert database module 114.
Expert database module 113 can be carried out according to the fault-signal for being added with sequential that timing failure generation module 112 is sent
One or more fault-signals for being added with sequential after fault diagnosis or the sequence sent according to contingency ranking module 113 enter
Row fault diagnosis.
Specifically, receive that timing failure generation module 112 sends is added with after the fault-signal of sequential, experts database mould
Block 113 can judge sequencing according to sequential, first fault diagnosis be carried out for the preceding fault-signal of order, afterwards for order
Posterior fault-signal carries out fault diagnosis.Receive the failure for being added with sequential after the sequence that contingency ranking module 113 is sent
After signal, expert database module 113 first can carry out fault diagnosis for the preceding fault-signal of row, afterwards for arranging posterior failure letter
Number carry out fault diagnosis.
In the single failure of wind electric converter is shut down, the fault-signal for producing first has a larger reference value, and one
As triggering failure basic failure.For example, for power model fails this most common failure, typically by power model,
Lower bridgc arm short causes, and the fault-signal for producing first is generally excessively stream.Over time, corresponding fuse can be due to mistake
Stream fuses and produces fuse failure signal.Next, DC voltage can be pulled down to below voltage threshold due to short circuit, enter
And produce DC voltage fault-signal.Due to produce first be excessively stream corresponding with upper and lower bridgc arm short fault-signal, this
Individual fault-signal can play larger reference role to the positioning of failure, and what is secondly produced is fusing corresponding with fuse blows
Device fault-signal, this minor failure that can be damaged as power model can be used as the secondary cause for causing failure.By that analogy,
The fault-signal for first producing is comparatively big for the reference value of fault diagnosis, and the fault-signal for producing afterwards is examined for failure
Disconnected reference value is comparatively little.
Therefore, expert database module 113 can first analyze the preceding fault-signal of sequential, secondly the posterior failure of analysis sequential
Signal, so as to obtain fault diagnosis result more accurately, more quickly, quickly obtains failure cause, accelerates entering for product improvement
Journey.
Fig. 2 illustrates the failure diagnosis apparatus of the wind electric converter for being applied to centerized fusion according to an embodiment of the invention
Schematic diagram.
As shown in Fig. 2 impeller 201, magneto 202, pusher side breaker 203, pusher side rectifier 204, brake unit
205th, net side inverter 206, unit personal electrical circuit 207, net side breaker 208 and electrical network is sequentially connected.The present embodiment
Wind electric converter at least includes:Pusher side rectifier 204, brake unit 205 and net side inverter 206.Pusher side rectifier 204,
Brake unit 205 and net side inverter 206 are connected by holding wire with failure diagnosis apparatus 210.
Failure diagnosis apparatus 210 include:Fault collection module 211, timing failure generation module 212 and experts database mould
Block 214.Preferably, failure diagnosis apparatus 210 may also include contingency ranking module 213.
Fault collection module 211 is used to obtain the fault-signal of wind electric converter, it is preferable that fault collection module 211 from
Wind electric converter obtains detection signal;Judge whether the detection signal is abnormal;When the detection signal is abnormal, wind-powered electricity generation unsteady flow is produced
The fault-signal of device.
In addition, the function and Fig. 1 of timing failure generation module 212, contingency ranking module 213 and expert database module 214
In timing failure generation module 112, contingency ranking module 113 and expert database module 114 function be similar to, here no longer
Repeat.
Fig. 3 illustrates the flow chart of the method for diagnosing faults of the wind electric converter of exemplary embodiment of the invention.
As shown in figure 3, the method for diagnosing faults of the present embodiment includes:
Step S310, obtains the fault-signal of wind electric converter;
Step S320, is the fault-signal addition sequential for obtaining;
Step S330, according to the fault-signal for being added with sequential fault diagnosis is carried out.
As an example, step S310 includes:Wind-powered electricity generation unsteady flow is obtained from the distributed director for being used to control wind electric converter
The fault-signal of device.Preferably, the fault-signal of wind electric converter is obtained from distributed director in the way of synchronous communication.Point
Cloth controller includes at least one in following item:Pusher side commutation controller, brake unit controller and net side inverter
Controller.
As an example, step S310 includes:Detection signal is obtained from wind electric converter;Judge whether the detection signal is different
Often;When the detection signal is abnormal, the fault-signal of wind electric converter is produced.
As an example, step S320 includes:Sequencing according to fault-signal is obtained is the fault-signal addition for obtaining
Sequential.
As an example, method for diagnosing faults also includes:Step S325, the fault-signal to being added with sequential is ranked up,
Correspondingly, step S330 includes:One or more fault-signals for being added with sequential after according to sequence carry out fault diagnosis.
Fig. 4 illustrates the schematic diagram of experts database generating process according to an embodiment of the invention.
In the present embodiment, the failure diagnosis apparatus of wind electric converter also include experts database generation module 410, for obtaining
One group of fault-signal being made up of at least one fault-signal with sequential and the corresponding relation of corresponding failure diagnostic message, with shape
Into experts database, that is to say, that experts database includes both corresponding relations following:It is made up of at least one fault-signal with sequential
The combination of band timing failure signal, and failure diagnosis information.Correspondingly, method for diagnosing faults according to an embodiment of the invention
May include the step of generating the experts database.
As shown in figure 4, sequential F11 failure (that is, the fault-signal with sequential F11) to sequential F1n failure, (n is more than 1
Natural number) composition fault-signal combination 1 (that is, fault-signal combination) with sequential, by that analogy, sequential Fm1 failure is (i.e.,
Fault-signal with sequential Fm1, m is the natural number more than 1) to sequential Fmn failure composition fault-signal combination m.Experts database
Generation module 410 sets up the corresponding relation of fault-signal combination 1 and corresponding failure diagnosis information, and by that analogy, experts database is generated
Module 410 sets up the corresponding relation of fault-signal combination m and corresponding failure diagnosis information.Experts database 420 includes the described of foundation
Corresponding relation.Experts database 420 can be stored in memory.
Fig. 5 illustrates the schematic diagram of fault message retrieving according to an embodiment of the invention.
In the present embodiment, the failure diagnosis apparatus of wind electric converter also include fault message retrieval unit 510, for examining
Rope combines corresponding failure diagnosis information with the fault-signal that the fault-signal that sequential is added with by least one is constituted;Memory
520, for storing experts database, for example, experts database 420 shown in Fig. 4.As shown in figure 5, sequential Fm1 failure is to sequential Fmn failure
(that is, being added with the fault-signal of sequential Fmn, m and n is the natural number more than 1) is imported into fault message retrieval unit
510, fault message retrieval unit 510 finds the failure letter for being added with sequential with input from memory 520 (or experts database)
Number combination (sequential Fm1 failure is to sequential Fmn failure) corresponding failure diagnosis information m, and export failure diagnosis information m.
Correspondingly, the step of carrying out fault diagnosis in method for diagnosing faults according to embodiments of the present invention may include:From special
Family's library searching combines corresponding failure diagnosis information with the fault-signal being made up of the fault-signal for being added with sequential.
Although having show and described some exemplary embodiments of the present invention, it will be understood by those skilled in the art that
In the case of without departing from the principle of the invention that its scope is limited by claim and its equivalent and spirit, can be to these
Embodiment is modified.
Claims (14)
1. a kind of failure diagnosis apparatus of wind electric converter, it is characterised in that the failure diagnosis apparatus include:
Fault collection module, for obtaining the fault-signal of wind electric converter;
Timing failure generation module, for the fault-signal addition sequential obtained for the fault collection module;
Expert database module, for carrying out fault diagnosis according to the fault-signal for being added with sequential.
2. failure diagnosis apparatus as claimed in claim 1, it is characterised in that the timing failure generation module according to described therefore
Barrier acquisition module obtains the fault-signal addition sequential that the sequencing of fault-signal is that the fault collection module is obtained.
3. failure diagnosis apparatus as claimed in claim 1, it is characterised in that the fault collection module is from for controlling wind-powered electricity generation
The distributed director of current transformer obtains the fault-signal of wind electric converter.
4. failure diagnosis apparatus as claimed in claim 1, it is characterised in that the fault collection module is obtained from wind electric converter
Detection signal is obtained, judges whether the detection signal is abnormal, when the detection signal is abnormal, produce the failure of wind electric converter
Signal.
5. failure diagnosis apparatus as claimed in claim 1, it is characterised in that the failure diagnosis apparatus also include:
Contingency ranking module, for being ranked up to the fault-signal for being added with sequential, wherein,
The expert database module according to sequence after one or more fault-signals for being added with sequential carry out fault diagnosis.
6. failure diagnosis apparatus as claimed in claim 1, it is characterised in that the failure diagnosis apparatus also include:
Experts database generation module, for generating experts database, wherein, the experts database includes both corresponding relations following:By extremely
The band timing failure signal combination of a few fault-signal with sequential composition, and failure diagnosis information, wherein,
The expert database module includes fault message retrieval unit, for from expert's library searching and by the event for being added with sequential
The fault-signal of barrier signal composition combines corresponding failure diagnosis information.
7. failure diagnosis apparatus as claimed in claim 2, it is characterised in that the fault collection module is with synchronous communication or different
The mode of step communication obtains the fault-signal of wind electric converter from the distributed director.
8. a kind of method for diagnosing faults of wind electric converter, it is characterised in that the method for diagnosing faults includes:
Obtain the fault-signal of wind electric converter;
For the fault-signal addition sequential for obtaining;
Fault-signal according to sequential is added with carries out fault diagnosis.
9. method for diagnosing faults as claimed in claim 8, it is characterised in that described for the fault-signal addition sequential that obtains
Step includes:
Sequencing according to fault-signal is obtained is the fault-signal addition sequential for obtaining.
10. method for diagnosing faults as claimed in claim 8, it is characterised in that the fault-signal of the acquisition wind electric converter
The step of include:
From the fault-signal that wind electric converter is obtained for the distributed director that controls wind electric converter.
11. method for diagnosing faults as claimed in claim 8, it is characterised in that the fault-signal of the acquisition wind electric converter
The step of include:
Detection signal is obtained from wind electric converter, judges whether the detection signal is abnormal, when the detection signal is abnormal, produced
The fault-signal of raw wind electric converter.
12. method for diagnosing faults as claimed in claim 8, it is characterised in that the method for diagnosing faults also includes:
Fault-signal to being added with sequential is ranked up, wherein,
The basis is added with the step of the fault-signal of sequential carries out fault diagnosis to be included:
One or more fault-signals for being added with sequential after according to sequence carry out fault diagnosis.
13. method for diagnosing faults as claimed in claim 8, it is characterised in that the method for diagnosing faults also includes:
Experts database is generated, wherein, the experts database includes both corresponding relations following:By at least one letter of the failure with sequential
The band timing failure signal combination of number composition, and failure diagnosis information, wherein,
The basis is added with the step of the fault-signal of sequential carries out fault diagnosis to be included:From expert's library searching with by adding
The fault-signal constituted added with the fault-signal of sequential combines corresponding failure diagnosis information.
14. method for diagnosing faults as claimed in claim 9, it is characterised in that in the way of synchronous communication or asynchronous communication from
The distributed director obtains the fault-signal of wind electric converter.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611217301.5A CN106646050B (en) | 2016-12-26 | 2016-12-26 | Fault diagnosis device and method for wind power converter |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201611217301.5A CN106646050B (en) | 2016-12-26 | 2016-12-26 | Fault diagnosis device and method for wind power converter |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106646050A true CN106646050A (en) | 2017-05-10 |
CN106646050B CN106646050B (en) | 2020-06-26 |
Family
ID=58828249
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201611217301.5A Active CN106646050B (en) | 2016-12-26 | 2016-12-26 | Fault diagnosis device and method for wind power converter |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106646050B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111060763A (en) * | 2019-12-19 | 2020-04-24 | 武汉航空仪表有限责任公司 | Method and system for detecting failure of anti-icing and deicing system based on time sequence judgment |
CN112628089A (en) * | 2020-12-30 | 2021-04-09 | 上海电气风电集团股份有限公司 | Abnormity monitoring method, system, platform, electronic equipment and storage medium |
CN114441698A (en) * | 2020-11-04 | 2022-05-06 | 中国科学院沈阳自动化研究所 | Gas chromatograph fault diagnosis method based on Bayesian network |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110307750A1 (en) * | 2010-06-11 | 2011-12-15 | Texas Instruments Incorporated | Compressed scan chain diagnosis by internal chain observation, processes, circuits, devices and systems |
CN102799513A (en) * | 2012-06-28 | 2012-11-28 | 腾讯科技(深圳)有限公司 | Method and system for displaying fault problems |
CN102891501A (en) * | 2012-09-25 | 2013-01-23 | 上海交通大学 | Distributed control system of high-power current transformer |
CN103439658A (en) * | 2013-08-12 | 2013-12-11 | 深圳市禾望电气有限公司 | Fault diagnosis method and system for converter |
CN103457248A (en) * | 2013-08-15 | 2013-12-18 | 国家电网公司 | Multi-fault processing method based on time axis |
CN104463709A (en) * | 2014-12-12 | 2015-03-25 | 国家电网公司 | Substation alarm information processing method based on decision trees |
CN104483596A (en) * | 2014-12-11 | 2015-04-01 | 广东电网有限责任公司电力调度控制中心 | Method and system for associating information of protection time asynchronization fault of two ends of circuit |
CN104615102A (en) * | 2014-12-22 | 2015-05-13 | 北京天诚同创电气有限公司 | Wind generating set management system and method for wind power plant |
-
2016
- 2016-12-26 CN CN201611217301.5A patent/CN106646050B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20110307750A1 (en) * | 2010-06-11 | 2011-12-15 | Texas Instruments Incorporated | Compressed scan chain diagnosis by internal chain observation, processes, circuits, devices and systems |
CN102799513A (en) * | 2012-06-28 | 2012-11-28 | 腾讯科技(深圳)有限公司 | Method and system for displaying fault problems |
CN102891501A (en) * | 2012-09-25 | 2013-01-23 | 上海交通大学 | Distributed control system of high-power current transformer |
CN103439658A (en) * | 2013-08-12 | 2013-12-11 | 深圳市禾望电气有限公司 | Fault diagnosis method and system for converter |
CN103457248A (en) * | 2013-08-15 | 2013-12-18 | 国家电网公司 | Multi-fault processing method based on time axis |
CN104483596A (en) * | 2014-12-11 | 2015-04-01 | 广东电网有限责任公司电力调度控制中心 | Method and system for associating information of protection time asynchronization fault of two ends of circuit |
CN104463709A (en) * | 2014-12-12 | 2015-03-25 | 国家电网公司 | Substation alarm information processing method based on decision trees |
CN104615102A (en) * | 2014-12-22 | 2015-05-13 | 北京天诚同创电气有限公司 | Wind generating set management system and method for wind power plant |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111060763A (en) * | 2019-12-19 | 2020-04-24 | 武汉航空仪表有限责任公司 | Method and system for detecting failure of anti-icing and deicing system based on time sequence judgment |
CN114441698A (en) * | 2020-11-04 | 2022-05-06 | 中国科学院沈阳自动化研究所 | Gas chromatograph fault diagnosis method based on Bayesian network |
CN114441698B (en) * | 2020-11-04 | 2023-03-24 | 中国科学院沈阳自动化研究所 | Gas chromatograph fault diagnosis method based on Bayesian network |
CN112628089A (en) * | 2020-12-30 | 2021-04-09 | 上海电气风电集团股份有限公司 | Abnormity monitoring method, system, platform, electronic equipment and storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN106646050B (en) | 2020-06-26 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106646050A (en) | Fault diagnosis device and method for wind power converter | |
CN107395121B (en) | Based on Grubbs test method and outlier detection photovoltaic array fault detection method | |
CN106597142A (en) | Automatic testing apparatus of SVG power module | |
JP2017509295A (en) | Defect detection system and method | |
CN102608512A (en) | Method for on-line detecting faults of photovoltaic cells in solar photovoltaic power station on line | |
CN101428635A (en) | Electronic apparatus and method for controlling three phase current point switch | |
CN112698101B (en) | Low-voltage transformer area line impedance measurement system and method based on node current injection mode | |
CN109991534A (en) | A kind of turn-out track machine equipment relay sequence fault diagnosis system | |
CN207232306U (en) | A kind of pocket intelligent distribution type feeder automation tests system | |
CN103197168A (en) | Fault diagnosis control method in power system based on event set causal chain | |
CN117612345A (en) | Power equipment state monitoring and alarming system and method | |
CN112327082A (en) | Flexible direct current engineering complete energy consumption device testing method, device and system | |
CN113922326B (en) | Bus/line grounding line selection wheel cutting method based on SCADA data | |
CN106256085B (en) | Abnormal detector | |
CN112578197B (en) | Automatic testing system and method for secondary circuit of transformer substation | |
CN109389520A (en) | A kind of electric power system fault method for pushing and system | |
CN105425149B (en) | A kind of AC machine drive system detection device | |
CN115906350A (en) | Micro-grid fault positioning and diagnosing method | |
JP2013038345A (en) | Photovoltaic power generation system | |
CN109521314A (en) | A kind of steam-electric power plant remote fault diagnosis method | |
CN210402096U (en) | Automatic detection platform for input/output board of computer interlocking system | |
CN109164750A (en) | A kind of diagnosis and processing method of shield machine operation troubles | |
CN210720559U (en) | Intelligent station bus secondary voltage monitoring device | |
CN106526503A (en) | Inverter power supply main control board fault detection device in rail transit and detection method thereof | |
Kamps et al. | Reliability of decentralized network automation systems and impacts on distribution network reliability |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |