CN108414864A - A kind of method for diagnosing faults for protective relaying device - Google Patents
A kind of method for diagnosing faults for protective relaying device Download PDFInfo
- Publication number
- CN108414864A CN108414864A CN201810219747.4A CN201810219747A CN108414864A CN 108414864 A CN108414864 A CN 108414864A CN 201810219747 A CN201810219747 A CN 201810219747A CN 108414864 A CN108414864 A CN 108414864A
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- China
- Prior art keywords
- real time
- relaying device
- protective relaying
- data
- time data
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- 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.)
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- 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
- G01R31/003—Environmental or reliability tests
-
- 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
- G01R31/327—Testing of circuit interrupters, switches or circuit-breakers
Abstract
The present invention relates to a kind of method for diagnosing faults, and in particular to a kind of method for diagnosing faults for protective relaying device includes the following steps：History data collection step, and establish historical data base；Bayesian network model establishment step establishes Bayesian network model, and establishes the failure discreet value of each element；Real-time data capture step establishes the monitoring system of protective relaying device；Real time data compares step, and the real time data of collection is compared with historical data by Bayesian network model, exports judging result；If judging fault-free or being not in failure in a short time, the real-time mathematical of collection is stored, and carry out the collection of new real time data；If judging faulty or faulty in a short time, corresponding problem component is judged, and monitoring personnel is reminded to replace respective element.Method provided by the present invention can estimate the state of each element of protective relaying device, be safeguarded significantly to it conducive to staff in advance.
Description
Technical field
The present invention relates to a kind of method for diagnosing faults, and in particular to a kind of fault diagnosis side for protective relaying device
Method.
Background technology
Protective relaying device is the first line of defence for the generation for ensureing that electric power netting safe running, the sexual behavior that is against any misfortune are former, from
Body health status and reliability carry out repair based on condition of component to entire electric system important for protective relaying device system
There is vital effect.Mostly it is that protective relaying device has gone wrong and just starts to solve now, causes power grid suitable
Smooth operation.
Invention content
Technical problem to be solved by the invention is to provide it is a kind of can prejudge element failure be used for relay
The method for diagnosing faults of protective device.
In order to solve the above-mentioned technical problem, the technical scheme is that：
A kind of method for diagnosing faults for protective relaying device includes the following steps：
History data collection step：The historical data for collecting each element of protective relaying device, establishes historical data base；
Bayesian network model establishment step：Establish Bayesian network model, and going through each element of protective relaying device
History data, emulation statistics carry out assignment to Bayesian network, establish the failure discreet value of each element；
Real-time data capture step：The monitoring system of protective relaying device is established, and collects each element of protective relaying device
Real time data；
Real time data compares step：The real time data of collection is compared with historical data by Bayesian network model, it is defeated
Go out judging result；If judging fault-free or being not in failure in a short time, the real-time mathematical of collection is stored, and is carried out new
The collection of real time data；If judging faulty or faulty in a short time, corresponding problem component is judged, and remind monitoring people
Member replaces respective element.
Above-mentioned method for diagnosing faults first establishes the historical data base of each element, then passes through Bayesian network
The historical data of each element of protective relaying device, emulation statistics are carried out assignment by network model to Bayesian network, are established each
The failure discreet value of a element, then the real time data for each element that monitoring system is collected is compared with failure discreet value,
The predicted state that just can be derived that each element, realizes the state for estimating each element in advance.
Further, in order to improve each element real time data collection, the real time data compares step and is specially
First judge whether collected real time data is complete, is then to carry out fault diagnosis, it is no, then carry out the amendment of real time data；In real time
After the completion of data correction, then breakdown judge is carried out.
Further, in order to more accurately judge that the predicted state of each element, the amendment of the real time data include
Temporal consistency identifies and the completion of information judges；
Temporal consistency identification whether the specific steps are real time datas collected by judgement consistent with corresponding element, be, then
It is no by real time data and historical data into comparing, then correct missing information state.
The completion of Step Information judge the specific steps are judging whether the real time data of collection perfect, is, then will be real
When data and historical data into comparing, it is no, then correct missing information state.
Further, in order to improve Bayesian network model so that Bayesian network model can be made more accurate pre-
Sentence, Bayesian network model collects output judging result, and is compared analysis with physical fault situation, and analysis result is deposited
It is stored in historical data base, the probability of Bayesian network model is corrected in update.
Description of the drawings
Fig. 1 is the flow chart of the present invention；
Fig. 2 is the particular flow sheet that real time data compares step in the present invention.
Specific implementation mode
The specific implementation mode of the present invention is described further below in conjunction with the accompanying drawings.It should be noted that for
The explanation of these embodiments is used to help understand the present invention, but does not constitute limitation of the invention.In addition, disclosed below
The each embodiment of the present invention in involved technical characteristic can be combined with each other as long as they do not conflict with each other.
As shown in Figure 1, a kind of method for diagnosing faults for protective relaying device, includes the following steps：
History data collection step：The historical data for collecting each element of protective relaying device, establishes historical data base；
Bayesian network model establishment step：Establish Bayesian network model, and going through each element of protective relaying device
History data, emulation statistics carry out assignment to Bayesian network, establish the failure discreet value of each element；
Real-time data capture step：The monitoring system of protective relaying device is established, and collects each element of protective relaying device
Real time data；
Real time data compares step：The real time data of collection is compared with historical data by Bayesian network model, it is defeated
Go out judging result；If judging fault-free or being not in failure in a short time, the real-time mathematical of collection is stored, and is carried out new
The collection of real time data；If judging faulty or faulty in a short time, corresponding problem component is judged, and remind monitoring people
Member replaces respective element.
Further, the real time data comparison step specially first judges whether collected real time data is complete, is,
Fault diagnosis is then carried out, it is no, then carry out the amendment of real time data；After the completion of real time data is corrected, then breakdown judge is carried out.
Further, the amendment of the real time data includes temporal consistency identification and the completion judgement of information；
Temporal consistency identification is first carried out, whether the specific steps are real time datas collected by judgement consistent with corresponding element,
It is then to carry out the completion judgement of Step Information, and correct missing information state, it is no, then correct missing information state；Then into
The completion of row Step Information judges, is missing information state of then correcting, no, then completes the amendment of real time data.
Further, Bayesian network model collects output judging result, and is compared analysis with physical fault situation,
And analysis result is stored in historical data base, the probability of Bayesian network model is corrected in update.
In summary：Above-mentioned method for diagnosing faults first establishes the historical data base of each element, then passes through
Bayesian network model assigns Bayesian network the historical data of each element of protective relaying device, emulation statistics
Value establishes the failure discreet value of each element, then the real time data for each element that monitoring system is collected and failure discreet value
It is compared, it will be able to which a predicted state for obtaining each element realizes the state for estimating each element in advance.
Embodiments of the present invention are explained in detail above in association with attached drawing, but the present invention is not limited to described implementations
Mode.For a person skilled in the art, in the case where not departing from the principle of the invention and spirit, to these embodiments
A variety of change, modification, replacement and modification are carried out, are still fallen in protection scope of the present invention.
Claims (4)
1. a kind of method for diagnosing faults for protective relaying device, which is characterized in that include the following steps：
History data collection step：The historical data for collecting each element of protective relaying device, establishes historical data base；
Bayesian network model establishment step：Establish Bayesian network model, and going through each element of protective relaying device
History data, emulation statistics carry out assignment to Bayesian network, establish the failure discreet value of each element；
Real-time data capture step：The monitoring system of protective relaying device is established, and collects each element of protective relaying device
Real time data；
Real time data compares step：The real time data of collection is compared with historical data by Bayesian network model, it is defeated
Go out judging result；If judging fault-free or being not in failure in a short time, the real-time mathematical of collection is stored, and is carried out new
The collection of real time data；If judging faulty or faulty in a short time, corresponding problem component is judged, and remind monitoring people
Member replaces respective element.
2. the method for diagnosing faults according to claim 1 for protective relaying device, which is characterized in that the real-time number
Specially first judge whether collected real time data is complete, is then to carry out fault diagnosis according to step is compared, it is no, then carry out reality
When data amendment；After the completion of real time data is corrected, then breakdown judge is carried out.
3. the method for diagnosing faults according to claim 2 for protective relaying device, which is characterized in that the real-time number
According to amendment include temporal consistency identification and information completion judge；
Temporal consistency identification whether the specific steps are real time datas collected by judgement consistent with corresponding element, be, then
It is no by real time data and historical data into comparing, then correct missing information state.
The completion of Step Information judge the specific steps are judge whether the real time data of collection perfect, is that will then count in real time
According to historical data into comparing, it is no, then correct missing information state；
Temporal consistency identifies and the judgement of the completion of Step Information first can be carried out or be carried out at the same time with any one.
4. the method for diagnosing faults according to claim 1 for protective relaying device, which is characterized in that Bayesian network
Model collects output judging result, and is compared analysis with physical fault situation, and analysis result is stored in historical data
In library, the probability of Bayesian network model is corrected in update.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810219747.4A CN108414864A (en) | 2018-03-16 | 2018-03-16 | A kind of method for diagnosing faults for protective relaying device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810219747.4A CN108414864A (en) | 2018-03-16 | 2018-03-16 | A kind of method for diagnosing faults for protective relaying device |
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| CN108414864A true CN108414864A (en) | 2018-08-17 |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110968061A (en) * | 2019-12-06 | 2020-04-07 | 珠海格力电器股份有限公司 | Equipment fault early warning method and device, storage medium and computer equipment |
| CN111459906A (en) * | 2020-03-02 | 2020-07-28 | 西安工业大学 | Method for establishing motor database |
| CN111833653A (en) * | 2020-07-13 | 2020-10-27 | 江苏理工学院 | Driving assistance system, method, device, and storage medium using ambient noise |
| DE102019114211A1 (en) * | 2019-05-28 | 2020-12-03 | Phoenix Contact Gmbh & Co. Kg | Techniques for failure prediction of elementary relays |
-
2018
- 2018-03-16 CN CN201810219747.4A patent/CN108414864A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102019114211A1 (en) * | 2019-05-28 | 2020-12-03 | Phoenix Contact Gmbh & Co. Kg | Techniques for failure prediction of elementary relays |
| CN110968061A (en) * | 2019-12-06 | 2020-04-07 | 珠海格力电器股份有限公司 | Equipment fault early warning method and device, storage medium and computer equipment |
| CN110968061B (en) * | 2019-12-06 | 2021-02-26 | 珠海格力电器股份有限公司 | Equipment fault early warning method and device, storage medium and computer equipment |
| CN111459906A (en) * | 2020-03-02 | 2020-07-28 | 西安工业大学 | Method for establishing motor database |
| CN111459906B (en) * | 2020-03-02 | 2022-11-15 | 西安工业大学 | Method for establishing motor database |
| CN111833653A (en) * | 2020-07-13 | 2020-10-27 | 江苏理工学院 | Driving assistance system, method, device, and storage medium using ambient noise |
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Application publication date: 20180817 |