CN108919068A - Power equipment intermittent defect signal recognition method - Google Patents
Power equipment intermittent defect signal recognition method Download PDFInfo
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- CN108919068A CN108919068A CN201810579726.3A CN201810579726A CN108919068A CN 108919068 A CN108919068 A CN 108919068A CN 201810579726 A CN201810579726 A CN 201810579726A CN 108919068 A CN108919068 A CN 108919068A
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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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1209—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using acoustic measurements
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- Testing Relating To Insulation (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The present invention relates to a kind of power equipment intermittent defect signal recognition methods.Its main feature is that including the following steps：Several local discharge sensors are installed on power equipment, the local discharge signal generated inside the power equipment that local discharge sensor detects is received using power equipment partial discharge detector's device；Several noise transducers are installed in power equipment exterior space, receive the noise signal that the exterior space that noise transducer detects transmits using power equipment partial discharge detector's device；To each local discharge sensor, judgement identification successively is carried out using the following steps 1 to step 4；Step 1, signal characteristic atlas analysis；Step 2, intermittent analysis；Step 3, noise transducer is analyzed；Step 4, pulse positioning analysis.The method of the present invention can comprehensively judge the source of intermittent signal, effectively distinguish intermittent defect signal and external interference signals, improve the reliability of power equipments defect diagnosis.
Description
Technical field
The present invention relates to a kind of power equipment intermittent defect signal recognition methods.
Background technique
The main transformer equipment such as transformer, GIS, mutual inductor is by factors such as power equipment structure, operating status, external environments
It influences, intermittent defect often occurs.Since intermittent defect existing defects signal forming time is uncertain, defect characteristic table
Existing uncertainty usually can not effectively judge that detected signal comes from intermittent defect and also comes from external do
It disturbs.
Summary of the invention
The object of the present invention is to provide a kind of power equipment intermittent defect signal recognition methods, can effectively distinguish interval
Property flaw indication and external interference signals, improve the reliability of power equipments defect diagnosis.
A kind of power equipment intermittent defect signal recognition method, its special feature is that, include the following steps：
Several local discharge sensors are installed on power equipment, are received using power equipment partial discharge detector's device
The local discharge signal generated inside the power equipment that local discharge sensor detects；If being installed in power equipment exterior space
Dry noise transducer, receives the exterior space that noise transducer detects using power equipment partial discharge detector's device and transmits
Noise signal；To each local discharge sensor, judgement identification successively is carried out using the following steps 1 to step 4；
Step 1, signal characteristic atlas analysis；
Step 2, intermittent analysis；
Step 3, noise transducer is analyzed；
Step 4, pulse positioning analysis.
Step 1 is specifically to be set using the electric power that power equipment partial discharge detector's device detection local discharge sensor provides
Standby intermittent signal obtains local discharge characteristic map；Local discharge characteristic map is observed, if it is determined that interference signal,
It then completes to identify；If it is determined that doubtful local discharge signal, then continue next step.
Step 2 is specifically to count the signal trend of local discharge sensor；If the total quantity of doubtful local discharge signal
It is lower than N lower than the average daily quantity of M or doubtful local discharge signal, then judges the signal that the sensor detects to be accidental
Identification is completed in interference；Otherwise continue next step.
Step 3 is specifically the related coefficient for calculating the electric discharge fingerprint of the local discharge sensor and adjacent noise sensor,
Judge signal similitude；If the signal that the local discharge sensor detects noise transducer signal adjacent thereto is similar, and
Signal amplitude is smaller, then judges that the signal that the sensor detects for external interference, completes identification；Otherwise continue next step
Suddenly；
Wherein above-mentioned electric discharge fingerprint includes degree of skewness, standout, degree of asymmetry, related coefficient, the pulse concentration degree of signal
And dispersion degree；
The related coefficient of electric discharge fingerprint calculates, as follows：
Wherein, n indicates the electric discharge total n parameter of fingerprint, and i is indicated from 0 to n-1, xiIndicate the i-th of local discharge sensor x
A electric discharge fingerprint parameter, yiIndicate i-th of electric discharge fingerprint parameter of adjacent noise sensor y.
Step 4 is specifically to acquire all shelf depreciation sensings using the signal of the local discharge sensor as trigger signal
The high-speed pulse signal of device, observes the time domain waveform of all local discharge sensors；If the signal of the local discharge sensor
Other sensors are ahead of, then judge the signal that the sensor detects for the intermittent shelf depreciation of generation inside power equipment
Otherwise signal is judged as interference signal.
Place of the step 1 exterior space span from 0.5-5 meters of distant places of equipment outer wall.
N=12 specifically is taken, is at least collected within every 2 hours primary；M=24 is taken, by 2 days judgment criterias.
The method of the present invention can comprehensively judge coming for intermittent signal by doing a variety of analyses to local discharge signal
Intermittent defect signal and external interference signals are effectively distinguished in source, improve the reliability of power equipments defect diagnosis, set for electric power
Standby safe operation provides safeguard.
Detailed description of the invention
Attached drawing 1 is the flow chart of invention.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, several changes and improvements can also be made.These belong to the present invention
Protection scope.
A kind of recognition methods of the power equipment intermittent defect signal provided according to the present invention, includes the following steps：
Step 1, signal characteristic atlas analysis；
Step 2, intermittent analysis；
Step 3, noise transducer is analyzed；
Step 4, pulse positioning analysis.
A kind of recognition methods of the power equipment intermittent defect signal provided according to the present invention uses power equipment part
Discharge examination instrument is equipped with several local discharge sensors on power equipment, produces inside power equipment for receiving
Raw local discharge signal；Several noise transducers are installed in power equipment exterior space, for receiving from exterior space
The noise signal transmitted；To each local discharge sensor, successively judged using step 1 to step 4.
Step 1, signal characteristic atlas analysis：The intermittent signal of power equipment is detected, local discharge characteristic map is obtained；
Local discharge characteristic map is observed, if signal is judged as interference signal, completing identification, (target of method is that identification signal is
Partial discharge signal or interference signal, so " completing identification " is belonged to if can be judged as " interference signal " or " Partial discharge signal ",
Similarly hereinafter；That is, identifying that input signal is interference signal, it is not doubtful partial discharge or partial discharge, does not need to be further processed)；
If signal is judged as doubtful local discharge signal, continue next step.
The local discharge characteristic map refers to shelf depreciation PRPS (Phase Resolved Pulse Sequence, arteries and veins
Rush sequence phase distribution map)/PRPD (Phase Resolved Partial Discharge, shelf depreciation phase distribution figure) figure
Spectrum.
The signal of the local discharge characteristic map judges, refers to using shelf depreciation type diagnostic method, judges that part is put
Signal is divided into interference signal and doubtful local discharge signal by the signal type of electrical feature map.
Step 2, intermittent analysis：Count the local discharge sensor (the i.e. partial discharge sensor of present analysis, in process
4 steps, both for some research partial discharge sensor) signal trend；If the total quantity of doubtful local discharge signal
It is lower than N lower than the average daily quantity of M or doubtful local discharge signal, then judges the signal that the sensor detects to be accidental
Identification is completed in interference；Otherwise continue next step.(target of above-mentioned identification is " intermittent partial discharge ", namely can irregularly be sent out
It is raw, be not it is accidental primary, do not occur again, specifically take N=12, at least collect within every 2 hours primary；M=24 is taken, by 2 days
Judgment criteria)
Step 3, noise transducer analysis：Calculate the electric discharge fingerprint of local discharge sensor noise transducer adjacent thereto
Related coefficient, judge signal similitude；If the signal that the local discharge sensor detects noise transducer adjacent thereto
Signal is similar, and signal amplitude is smaller, then judges that the signal that the sensor detects for interference, completes identification；Otherwise under continuing
One step.
The electric discharge fingerprint, degree of skewness, standout, degree of asymmetry, related coefficient, pulse concentration degree comprising signal and point
Divergence.
The related coefficient calculates, as follows：
Wherein, n indicates the electric discharge total n parameter of fingerprint, and i is indicated from 0 to n-1, xiIndicate the i-th of local discharge sensor x
A electric discharge fingerprint parameter, yiIndicate i-th of electric discharge fingerprint parameter of adjacent noise sensor y.
Xi indicates i-th of fingerprint parameter in formula.N indicates the number of parameters of electric discharge fingerprint, such as above-mentioned " degree of skewness ",
It is 6 herein." Xi " indicates i-th of parameter of sensor x together.Assuming that 2 partial discharge sensors, are judging the 1st partial discharge sensing
When device, X1 indicates the value of first fingerprint parameter " degree of skewness " of this sensor.So X only represents first, it is not
Serial number.Y is same.
Step 4, pulse positioning analysis：Using the signal of the local discharge sensor as trigger signal, high-speed pulse is acquired
Signal observes the time domain waveform of all the sensors；If the signal of the local discharge sensor is ahead of other sensors, sentence
The signal that the sensor detects that breaks is the intermittent local discharge signal generated inside power equipment, is otherwise judged as interference letter
Number.
The present invention discloses a kind of recognition methods of power equipment intermittent defect signal, and technical characteristics are：Signal
Characteristic spectrum analysis, judges signal type for doubtful local discharge signal or interference signal；Whether intermittence analysis, judge signal
For accidental interference；Noise transducer analysis, judges whether signal comes from external disturbance；Pulse positioning analysis judges the elder generation of signal
Sequence afterwards realizes the identification to power equipment intermittent defect signal and external disturbance.
The present invention can comprehensively judge the source of intermittent signal, have by doing a variety of analyses to local discharge signal
Effect distinguishes intermittent defect signal and external interference signals, improves the reliability of power equipments defect diagnosis, pacifies for power equipment
Row for the national games provides safeguard.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (7)
1. a kind of power equipment intermittent defect signal recognition method, which is characterized in that include the following steps：
Several local discharge sensors are installed on power equipment, receive part using power equipment partial discharge detector's device
The local discharge signal generated inside the power equipment that discharge sensor detects；Several are installed in power equipment exterior space
Noise transducer is made an uproar using what the exterior space that power equipment partial discharge detector's device reception noise transducer detects transmitted
Acoustical signal；To each local discharge sensor, judgement identification successively is carried out using the following steps 1 to step 4；
Step 1, signal characteristic atlas analysis；
Step 2, intermittent analysis；
Step 3, noise transducer is analyzed；
Step 4, pulse positioning analysis.
2. power equipment intermittent defect signal recognition method as described in claim 1, it is characterised in that：Step 1 is specifically
Using the intermittent signal for the power equipment that power equipment partial discharge detector's device detection local discharge sensor provides, obtain
Local discharge characteristic map；Local discharge characteristic map is observed, if it is determined that interference signal, then complete to identify；If it is determined that
For doubtful local discharge signal, then continue next step.
3. power equipment intermittent defect signal recognition method as described in claim 1, it is characterised in that：Step 2 is specifically
Count the signal trend of local discharge sensor；If the total quantity of doubtful local discharge signal is lower than M or doubtful part is put
The average daily quantity of electric signal is lower than N, then judges that the signal that the sensor detects for accidental interference, completes identification；Otherwise after
Continuous next step.
4. power equipment intermittent defect signal recognition method as described in claim 1, it is characterised in that：Step 3 is specifically
The related coefficient for calculating the electric discharge fingerprint of the local discharge sensor and adjacent noise sensor, judges signal similitude；If
The signal that the local discharge sensor detects noise transducer signal adjacent thereto is similar, and signal amplitude is smaller, then judges
The signal that the sensor detects is external interference, completes identification；Otherwise continue next step；
Wherein above-mentioned electric discharge fingerprint include the degree of skewness of signal, standout, degree of asymmetry, related coefficient, pulse concentration degree and point
Divergence；
The related coefficient of electric discharge fingerprint calculates, as follows：
Wherein, n indicates the electric discharge total n parameter of fingerprint, and i is indicated from 0 to n-1, xiIndicate i-th of electric discharge of local discharge sensor x
Fingerprint parameter, yiIndicate i-th of electric discharge fingerprint parameter of adjacent noise sensor y.
5. power equipment intermittent defect signal recognition method as described in claim 1, it is characterised in that：Step 4 is specifically
Using the signal of the local discharge sensor as trigger signal, the high-speed pulse signal of all local discharge sensors is acquired, is seen
Examine the time domain waveform of all local discharge sensors；If the signal of the local discharge sensor is ahead of other sensors,
Judge that the signal that the sensor detects for the intermittent local discharge signal generated inside power equipment, is otherwise judged as interference
Signal.
6. power equipment intermittent defect signal recognition method as described in claim 1, it is characterised in that：It is empty outside step 1
Between place of the span from 0.5-5 meters of distant places of equipment outer wall.
7. power equipment intermittent defect signal recognition method as claimed in claim 3, it is characterised in that：N=12 specifically is taken,
It at least collects within every 2 hours primary；M=24 is taken, by 2 days judgment criterias.
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| CN201810579726.3A CN108919068B (en) | 2018-06-07 | 2018-06-07 | Intermittent defect signal identification method for power equipment |
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Cited By (2)
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| CN110988624A (en) * | 2019-12-04 | 2020-04-10 | 国网宁夏电力有限公司电力科学研究院 | Detection method and system for intermittent partial discharge signal |
| CN112710928A (en) * | 2020-12-10 | 2021-04-27 | 国网宁夏电力有限公司电力科学研究院 | Direct-current partial discharge waveform interference removing method and system based on autocorrelation analysis |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110988624A (en) * | 2019-12-04 | 2020-04-10 | 国网宁夏电力有限公司电力科学研究院 | Detection method and system for intermittent partial discharge signal |
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| CN112710928A (en) * | 2020-12-10 | 2021-04-27 | 国网宁夏电力有限公司电力科学研究院 | Direct-current partial discharge waveform interference removing method and system based on autocorrelation analysis |
| CN112710928B (en) * | 2020-12-10 | 2023-02-21 | 国网宁夏电力有限公司电力科学研究院 | Direct-current partial discharge waveform interference removing method and system based on autocorrelation analysis |
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