CN106644423A - GIS partial discharge type identification system and GIS partial discharge type identification method based on vibration signal - Google Patents
GIS partial discharge type identification system and GIS partial discharge type identification method based on vibration signal Download PDFInfo
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- CN106644423A CN106644423A CN201610864972.4A CN201610864972A CN106644423A CN 106644423 A CN106644423 A CN 106644423A CN 201610864972 A CN201610864972 A CN 201610864972A CN 106644423 A CN106644423 A CN 106644423A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H11/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties
- G01H11/02—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by detecting changes in electric or magnetic properties by magnetic means, e.g. reluctance
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- Testing Relating To Insulation (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses a GIS partial discharge type identification system and a GIS partial discharge type identification method based on a vibration signal. The system comprises a vibration sensor, a data acquisition instrument and a PC, which are connected in sequence. The vibration sensor is fixedly installed on the outer shell surface of a shell body of a GIS. The vibration sensor is used for acquiring a vibration signal of the GIS in real time and transmitting the vibration signal to the data acquisition instrument. The data acquisition instrument is used for receiving the vibration signal, and transmitting the vibration signal to the PC after noise reduction, filtering and A/D conversion. The PC is used for receiving the vibration signal output by the data acquisition instruction, judging the type of discharge and outputting a judgment result. The GIS partial discharge type identification system and a GIS partial discharge type identification method based on a vibration signal provided by the invention are simple and feasible, convenient and reliable, and economic and practical.
Description
Technical field
The present invention relates to a kind of fault diagnosis technology, more particularly to a kind of GIS offices based on vibration signal
Portion's electric discharge type identifying system and method, belong to GIS device status monitoring and fault diagnosis field.
Background technology
GIS device, i.e. Cubicle Gas-Insulated Switchgear (Gas Insulated Switchgear), are born in 20
Century the mid-1960s, it by breaker, disconnecting switch, quick (ground connection) switch, current transformer, voltage transformer, take shelter from the thunder
All combination in a totally enclosed metal shell, is used in shell for device, bus (three-phase is single-phase), connecting tube and transition element etc.
In insulation and the SF that the medium of arc extinguishing is 0.35～0.6MPa6Gas.
With the continuous maturation of technology, GIS device floor space is less and less with volume, and operation is also more and more reliable, early
The fault rate and maintenance workload of the GIS device that the phase puts into operation also is significantly lower than other kinds of switchgear of the same period, therefore,
It is widely used in urban network restructuring.
With the growth that in recent years China's GIS device usage amount increases sharply with the GIS device operation time limit of earlier operation,
The fault rate of GIS device has the trend of increase, and between being much higher by the GIS device accident rate proposed by IEC less than 0.1
Every the requirement in/hundred years.
GIS device is combined by many electrical equipments, but failure condition is again with the failure of each independent electrical equipment not to the utmost
It is identical, and fault rate will be far below the fault rate of independent electrical equipment, prolonged hyperbaric environment also becomes many GIS devices events
The inducement of barrier.GIS device is needed through strict Row control to guarantee the fortune of GIS device from designing, manufacturing, being installed to operation
Arbitrary link in row quality, but all multiple operation is all likely to become the potential risk of GIS device failure, according to national grid《It is high
Voltage switching station typical fault case collection》In case introduction, about 80% failure introduces in manufacture and fixing link.
Although GIS device possesses higher operational reliability, the GIS device of longtime running has unavoidably Material degradation, and connection
The situation generation that part loosens under electrodynamic action or deforms.GIS device fault type is various, but with partial discharges fault most
Include superfrequency method, supercritical ultrasonics technology etc. for common, common at present detection method, wherein superfrequency method can be subject to gas componant
Impact, while being affected larger by the electromagnetic noise in environment, there is the defects such as reliability is not high, error is larger in ultrasonic wave；Cause
The electric discharge type recognition methods that this finds is of great importance for raising power supply reliability.
The content of the invention
Present invention is primarily targeted at, overcome deficiency of the prior art, there is provided a kind of simple, convenient and reliable
GIS partial discharge identification system and method based on vibration signal, with the value in industry.
In order to achieve the above object, the technical solution adopted in the present invention is：
A kind of GIS partial discharge identification system based on vibration signal, including the vibrating sensor, number that are sequentially connected
According to Acquisition Instrument and PC, the vibrating sensor is fixedly mounted on the housing shell surface of GIS device.
Wherein, the vibrating sensor, for the vibration signal of Real-time Collection GIS device, and vibration signal is transferred to
Data collecting instrument；The data collecting instrument, for receiving vibration signal, and successively will Jing after noise reduction, filtering and A/D conversion process
Vibration signal is transferred to PC；The PC, for the vibration signal of receiving data Acquisition Instrument output, and carries out electric discharge type
Judge and export judged result.
The present invention is further arranged to：The vibrating sensor is ferromagnetism sensor, by adsorbing the gas in GIS device
Fixedly mounted in the fixing nut of room flange.
The present invention is further arranged to：The vibrating sensor is 5, including the air chamber flange for being each perpendicular to GIS device
The flange face at place is fixed 4 vibrating sensors of installation and 1 vibration along the radially fixed installation of air chamber of GIS device is passed
Sensor.
The present invention also provides a kind of GIS partial discharge kind identification method based on vibration signal, comprises the following steps：
1) vibrating sensor is fixedly mounted on the housing shell surface of GIS device, the output end of vibrating sensor is connected
In data collecting instrument, the output end of data collecting instrument is connected to into PC；
2) start GIS device and be in running status, by the vibration signal of vibrating sensor Real-time Collection GIS device, if
It is 25600Hz to determine vibration signal sample frequency, and the sampling time is 2.5s；
3) vibration signal collected to vibrating sensor by data collecting instrument carries out wavelet de-noising process；
4) vibration signal after wavelet de-noising process is filtered and A/D conversion process by data collecting instrument, is only protected
The vibration signal for staying 1500Hz-6400Hz frequency ranges is exported to PC；
5) PC carries out Wavelet time-frequency conversion to the vibration signal of 1500Hz-6400Hz frequency ranges, is converted according to Wavelet time-frequency
Time series afterwards, calculates the accounting that each time point 1750Hz-2000Hz band energies account for 1500Hz-2000Hz band energies
m；
M=E1750Hz-2000Hz/E1500Hz-2000Hz,
Wherein, E1750Hz-2000HzFor 1750Hz-2000Hz band energies, it is each frequency of 1750Hz-2000Hz frequency ranges
The quadratic sum of amplitude is put, computing formula isIn formula, A is amplitude, and f is frequency；
Wherein, E1500Hz-2000HzFor 1500Hz-2000Hz band energies, it is each frequency of 1500Hz-2000Hz frequency ranges
The quadratic sum of amplitude is put, computing formula isIn formula, A is amplitude, and f is frequency；
6) the total sampling number of vibration signal is set as N, each sampled point corresponds to an accounting m value in N number of total sampling number；
N is taken respectively1=N(m ＞ 0.5)/ N, n2=N(m ＞ 0.8)/N；
Wherein, n1It is more than 0.5 sampling number and the ratio of total sampling number for energy accounting m in total sampling number N,
N(m ＞ 0.5)For the vibration signal total number of m ＞ 0.5 in N number of total sampling number, n2It is more than for energy accounting m in total sampling number N
The ratio of 0.8 sampling number and total sampling number, N(m ＞ 0.8)Vibration signal for m ＞ 0.8 in N number of total sampling number is always individual
Number；
7) two dynamic threshold λ are set up1And λ2, λ1=20E1500Hz-6400Hz, λ2=2 λ1-1.31；
Wherein, λ1、λ2To judge the dynamic threshold of spine electric discharge and basin creeping discharge；E1500Hz-6400HzFor shelf depreciation
Vibration signal 1500Hz-6400Hz frequency range gross energies, it is the quadratic sum of each Frequency point amplitude of 1500Hz-6400Hz frequency ranges,
Computing formula isIn formula, A is amplitude, and f is frequency；
By step 6) calculated n1、n2Relatively carrying out the judgement of electric discharge type, electric discharge type bag compared with dynamic threshold
Include spine electric discharge and basin creeping discharge；
Work as n1＞ λ1And n2＞ λ2When, electric discharge type is judged for basin creeping discharge；
Work as n1＜ λ1And n2＜ λ2When, electric discharge type is judged for spine electric discharge；
Otherwise, judge that electric discharge type is failed to understand.
Compared with prior art, the invention has the advantages that：
1st, the GIS partial discharge identification system based on vibration signal that the present invention is provided, the collection of its vibration signal
There is no electrical link, simple structure with GIS device, it is easy to operate, it is economical and practical.
2nd, the GIS partial discharge kind identification method based on vibration signal that the present invention is provided, characteristic spectra adopts high frequency
Part, can exclude low-frequency vibration interference, and detection reliability is high.
The above is only the general introduction of technical solution of the present invention, in order to be better understood upon the technological means of the present invention, under
Face combines accompanying drawing, and the invention will be further described.
Description of the drawings
Fig. 1 is a kind of structured flowchart of the GIS partial discharge identification system based on vibration signal of the present invention；
Fig. 2 be in a kind of GIS partial discharge identification system based on vibration signal of the present invention vibrating sensor point
Cloth schematic diagram；
Fig. 3 is a kind of flow chart of the GIS partial discharge kind identification method based on vibration signal of the present invention；
The vibration signal figure that Fig. 4 is measured by electric discharge type recognition methods of the present invention；
The spine electric discharge Wavelet time-frequency spectrogram that Fig. 5 is converted by electric discharge type recognition methods of the present invention；
The basin creeping discharge Wavelet time-frequency spectrogram that Fig. 6 is converted by electric discharge type recognition methods of the present invention；
The identification figure of the shelf depreciation type that Fig. 7 is set up by electric discharge type recognition methods of the present invention.
Specific embodiment
With reference to Figure of description, the present invention is further illustrated.
The present invention provides a kind of GIS partial discharge identification system based on vibration signal, as shown in figure 1, including according to
Secondary connected vibrating sensor, data collecting instrument and PC.The vibrating sensor, for the vibration of Real-time Collection GIS device
Signal, and vibration signal is transferred to into data collecting instrument；The data collecting instrument, for receiving vibration signal, and Jing drops successively
Make an uproar, filter and A/D conversion process after vibration signal is transferred to into PC；The PC, for the output of receiving data Acquisition Instrument
Vibration signal, and carry out judgement and the output judged result of electric discharge type.
The vibrating sensor is ferromagnetism sensor, by the fixed spiral shell for adsorbing the air chamber flange in GIS device 10
Fixedly mounted on mother, as shown in Figure 2.Vibrating sensor in Fig. 2 is 5, including the air chamber method for being each perpendicular to GIS device
Flange face at orchid is fixed 1 vibration of 4 vibrating sensors of installation and the radially fixed installation of air chamber along GIS device
Sensor, wherein 4 vibrating sensors are respectively 1#, 2#, 3# and 5# shown in Fig. 2,1 vibrating sensor is 4#.
The present invention also provides a kind of GIS partial discharge kind identification method based on vibration signal, as shown in figure 3, including
Following steps：
1) vibrating sensor is fixedly mounted on the housing shell surface of GIS device, the output end of vibrating sensor is connected
In data collecting instrument, the output end of data collecting instrument is connected to into PC；
2) start GIS device and be in running status, by the vibration signal of vibrating sensor Real-time Collection GIS device, if
It is 25600Hz to determine vibration signal sample frequency, and the sampling time is 2.5s；
3) vibration signal collected to vibrating sensor by data collecting instrument carries out wavelet de-noising process；
4) vibration signal after wavelet de-noising process is filtered and A/D conversion process by data collecting instrument, is only protected
The vibration signal for staying 1500Hz-6400Hz frequency ranges is exported to PC；
5) PC carries out Wavelet time-frequency conversion to the vibration signal of 1500Hz-6400Hz frequency ranges, is converted according to Wavelet time-frequency
Time series afterwards, calculates the accounting that each time point 1750Hz-2000Hz band energies account for 1500Hz-2000Hz band energies
m；
M=E1750Hz-2000Hz/E1500Hz-2000Hz,
Wherein, E1750Hz-2000HzFor 1750Hz-2000Hz band energies, it is each frequency of 1750Hz-2000Hz frequency ranges
The quadratic sum of amplitude is put, computing formula isIn formula, A is amplitude, and f is frequency；
Wherein, E1500Hz-2000HzFor 1500Hz-2000Hz band energies, it is each frequency of 1500Hz-2000Hz frequency ranges
The quadratic sum of amplitude is put, computing formula isIn formula, A is amplitude, and f is frequency；
6) the total sampling number of vibration signal is set as N, each sampled point corresponds to an accounting m value in N number of total sampling number；
N is taken respectively1=N(m ＞ 0.5)/ N, n2=N(m ＞ 0.8)/N；
Wherein, n1It is more than 0.5 sampling number and the ratio of total sampling number for energy accounting m in total sampling number N,
N(m ＞ 0.5)For the vibration signal total number of m ＞ 0.5 in N number of total sampling number, n2It is more than for energy accounting m in total sampling number N
The ratio of 0.8 sampling number and total sampling number, N(m ＞ 0.8)Vibration signal for m ＞ 0.8 in N number of total sampling number is always individual
Number；
7) two dynamic threshold λ are set up1And λ2, λ1=20E1500Hz-6400Hz, λ2=2 λ1-1.31；
Wherein, λ1、λ2To judge the dynamic threshold of spine electric discharge and basin creeping discharge；E1500Hz-6400HzFor shelf depreciation
Vibration signal 1500Hz-6400Hz frequency range gross energies, it is the quadratic sum of each Frequency point amplitude of 1500Hz-6400Hz frequency ranges,
Computing formula isIn formula, A is amplitude, and f is frequency；
By step 6) calculated n1、n2Relatively carrying out the judgement of electric discharge type, electric discharge type bag compared with dynamic threshold
Include spine electric discharge and basin creeping discharge；
Work as n1＞ λ1And n2＞ λ2When, electric discharge type is judged for basin creeping discharge；
Work as n1＜ λ1And n2＜ λ2When, electric discharge type is judged for spine electric discharge；
Otherwise, judge that electric discharge type is failed to understand.
The electric discharge type recognition methods of the present invention is to enter line translation to vibration signal by Wavelet time-frequency method, calculates each time
The lower frequency range 1750Hz-2000Hz band energy of point accounts for the ratio of 1500Hz-2000Hz band energies, is judged according to dynamic threshold
There is shelf depreciation type in GIS.
The GIS device of model 252kV ZF-16 can be adopted, respectively to spine electric discharge (needle point electric discharge) and metallic particles basin
Sub- creeping discharge both electric discharge types are identified.
The vibration signal of GIS device under normal circumstances is first measured, is calculated under normal circumstances, when voltage is different,
More than 1600Hz oscillating component situations are basically unchanged, therefore choose the vibration signal under 35kV herein for normal comparison signal.
Be illustrated in figure 4 the vibration signal that obtains of measurement, vibration signal carried out into Wavelet time-frequency conversion, obtain such as Fig. 5 and
Wavelet time-frequency spectrogram shown in Fig. 6；N is taken by calculating1With n2, and with n1For abscissa, n2Map for ordinate, by dynamic
The setting of threshold value and compare, obtain the identification figure that can accurately judge shelf depreciation type as shown in Figure 7.
General principle, principal character and the advantage of the present invention has been shown and described above.The technical staff of the industry should
Understand, the present invention is not restricted to the described embodiments, the original for simply illustrating the present invention described in above-described embodiment and specification
Reason, without departing from the spirit and scope of the present invention, the present invention also has various changes and modifications, these changes and improvements
Both fall within scope of the claimed invention.The claimed scope of the invention is by appending claims and its equivalent circle.
It is fixed.
Claims (4)
1. a kind of GIS partial discharge identification system based on vibration signal, it is characterised in that：Including the vibration being sequentially connected
Sensor, data collecting instrument and PC, the vibrating sensor is fixedly mounted on the housing shell surface of GIS device；
The vibrating sensor, for the vibration signal of Real-time Collection GIS device, and is transferred to data acquisition by vibration signal
Instrument；
The data collecting instrument, for receiving vibration signal, and successively Jing after noise reduction, filtering and A/D conversion process by vibration letter
Number it is transferred to PC；
The PC, for the vibration signal of receiving data Acquisition Instrument output, and carries out the judgement and output judgement of electric discharge type
As a result.
2. a kind of GIS partial discharge identification system based on vibration signal according to claim 1, its feature exists
In：The vibrating sensor is ferromagnetism sensor, is carried out in the fixing nut of the air chamber flange of GIS device by absorption
Fixed installation.
3. a kind of GIS partial discharge identification system based on vibration signal according to claim 1, its feature exists
In：The vibrating sensor is 5, and including the flange face of the air chamber flange for being each perpendicular to GIS device the 4 of installation is fixed
Individual vibrating sensor and 1 vibrating sensor of the radially fixed installation of air chamber along GIS device.
4. a kind of GIS partial discharge kind identification method based on vibration signal, it is characterised in that comprise the following steps：
1) vibrating sensor is fixedly mounted on the housing shell surface of GIS device, the output end of vibrating sensor is connected to into number
According to Acquisition Instrument, the output end of data collecting instrument is connected to into PC；
2) start GIS device and be in running status, by the vibration signal of vibrating sensor Real-time Collection GIS device, setting is shaken
Dynamic signal sampling frequencies are 25600Hz, and the sampling time is 2.5s；
3) vibration signal collected to vibrating sensor by data collecting instrument carries out wavelet de-noising process；
4) vibration signal after wavelet de-noising process is filtered and A/D conversion process by data collecting instrument, is only retained
The vibration signal of 1500Hz-6400Hz frequency ranges is exported to PC；
5) PC carries out Wavelet time-frequency conversion to the vibration signal of 1500Hz-6400Hz frequency ranges, after Wavelet time-frequency conversion
Time series, calculates the accounting that each sampling time point 1750Hz-2000Hz band energy accounts for 1500Hz-2000Hz band energies
m；
M=E1750Hz-2000Hz/E1500Hz-2000Hz,
Wherein, E1750Hz-2000HzFor 1750Hz-2000Hz band energies, it is each Frequency point amplitude of 1750Hz-2000Hz frequency ranges
Quadratic sum, computing formula isIn formula, A is amplitude, and f is frequency；
Wherein, E1500Hz-2000HzFor 1500Hz-2000Hz band energies, it is each Frequency point amplitude of 1500Hz-2000Hz frequency ranges
Quadratic sum, computing formula isIn formula, A is amplitude, and f is frequency；
6) the total sampling number of vibration signal is set as N, each sampled point corresponds to an accounting m value in N number of total sampling number；Respectively
Take n1=N(m ＞ 0.5)/ N, n2=N(m ＞ 0.8)/N；
Wherein, n1It is more than 0.5 sampling number and the ratio of total sampling number, N for energy accounting m in total sampling number N(m ＞ 0.5)
For the vibration signal total number of m ＞ 0.5 in N number of total sampling number, n2For the adopting more than 0.8 of energy accounting m in total sampling number N
The ratio of number of samples and total sampling number, N(m ＞ 0.8)For the vibration signal total number of m ＞ 0.8 in N number of total sampling number；
7) two dynamic threshold λ are set up1And λ2, λ1=20E1500Hz-6400Hz, λ2=2 λ1-1.31；
Wherein, λ1、λ2To judge the dynamic threshold of spine electric discharge and basin creeping discharge；E1500Hz-6400HzFor shelf depreciation vibration
Signal 1500Hz-6400Hz frequency range gross energies, it is the quadratic sum of each Frequency point amplitude of 1500Hz-6400Hz frequency ranges, is calculated
Formula isIn formula, A is amplitude, and f is frequency；
By step 6) calculated n1、n2Relatively carrying out the judgement of electric discharge type compared with dynamic threshold, electric discharge type includes point
Thorn electric discharge and basin creeping discharge；
Work as n1＞ λ1And n2＞ λ2When, electric discharge type is judged for basin creeping discharge；
Work as n1＜ λ1And n2＜ λ2When, electric discharge type is judged for spine electric discharge；
Otherwise, judge that electric discharge type is failed to understand.
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Cited By (2)
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| CN107702908A (en) * | 2017-10-12 | 2018-02-16 | 国网山东省电力公司莱芜供电公司 | GIS mechanical oscillation signal Time-Frequency Analysis Methods based on VMD self adapting morphologies |
| CN108445364A (en) * | 2018-04-19 | 2018-08-24 | 江苏方天电力技术有限公司 | Power plant's partial discharge of switchgear fault diagnosis method and system based on vibration signal |
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| CN106644423B (en) | 2018-12-28 |
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Address after: 211102, Jiangsu, Jiangning Development Zone, Nanjing, the source of the road, No. 58, -5 Applicant after: National network Jiangsu Electric Power Co., Ltd. maintenance branch Applicant after: State Grid Corporation of China Address before: 211102, Jiangsu, Jiangning Development Zone, Nanjing, the source of the road, No. 58, -5 Applicant before: State Grid Jiangsu Electric Power Company Maintenance Branch Company Applicant before: State Grid Corporation of China |
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