CN202735426U - GIS fault diagnosis system based on vibration signal spectral analysis - Google Patents
GIS fault diagnosis system based on vibration signal spectral analysis Download PDFInfo
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- CN202735426U CN202735426U CN 201220278365 CN201220278365U CN202735426U CN 202735426 U CN202735426 U CN 202735426U CN 201220278365 CN201220278365 CN 201220278365 CN 201220278365 U CN201220278365 U CN 201220278365U CN 202735426 U CN202735426 U CN 202735426U
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Abstract
The utility model discloses a GIS fault diagnosis system based on vibration signal spectral analysis, and belongs to the field of GIS faults monitoring. The system comprises vibration acceleration transducers, a charge amplifier, a data acquisition instrument, and a PC machine connected in series in sequence, and the vibration acceleration transducers comprise three vibration sensors respectively fixed on an X, Y, and Z axis directions on an outer surface of a GIS box. The system utilizes the three vibration sensors to collect GIS vibration signals on the X, Y, and Z axis directions, the vibration signals are preprocessed, spectral analysis is carried out, energy of characteristic frequency is calculated, the calculated value is compared with normal state, and according to compare results and threshold value, the GIS faults are determined. The GIS fault diagnosis system based on vibration signal spectral analysis is easy in engineering realization, accurate in diagnosis, and high in reliability.
Description
Technical field
The utility model relates to a kind of power transmission and transformation equipment state on-line monitoring technique, relates in particular to the fault diagnosis system of a kind of Cubicle Gas-Insulated Switchgear (GIS), belongs to GIS malfunction monitoring field.
Background technology
Cubicle Gas-Insulated Switchgear (GIS) is born in early 1970s, it is that the electrical equipment closed group such as isolating switch, disconnector, high speed grounding switch, current transformer, lightning arrester, bus, sleeve pipe and cable termination are combined in the metal shell of ground connection, and SF6 gas with 0.3 ~ 0.4MPa is filled as insulating medium in inside.
The effect of GIS is equivalent to a switchyard, it has that volume is little, floor area is little, operational reliability is high, be not affected by the external environment, flexible configuration, maintenance workload is little, the time between overhauls(TBO) is long, without advantages such as electromagnetic interference (EMI), deeply be subjected to the favor of Utilities Electric Co., used in a large number at Construction of Intercity Network with in transforming.
Because therefore the strong electronegativity of SF6 gas has good insulating property, present UHV (ultra-high voltage) and extra-high voltage equipment mainly with SF6 as insulating medium.Yet in a single day cause local field strength too concentrated owing to sneak into moisture, impurity, particle or other reasons in the SF6 gas, its insulating property can sharply descend, so production technology, condition, the environment of GIS all had higher requirement.But in the manufacturing and assembling process of GIS, unavoidably can stay defective, this has just stayed potential faults for GIS.In power demand growing today, important electrical equipment is carried out real-time status monitoring, the continuity that not only can guarantee to power, guarantee the stable operation of equipment long-term safety, especially the power industry necessary links of increasing economic efficiency.
The reasons such as deciliter vibration owing to switch, disconnecting link in manufacturing, transportation, installation and the operational process of GIS equipment can form the conductive impurities such as metal particle, powder and moisture in inside, this is the main cause that causes the GIS equipment failure.
There are at present following several GIS method for diagnosing faults:
1, ultrahigh frequency detection method, can carry out fault diagnosis according to the waveform character of discharge pulse and the spectrum signature of UHF signal, has good detection sensitivity, but the structural design of uhf sensor itself can't suppress the interference from high band in the transformer station, this just so that the accuracy of testing result be subject to having a strong impact on.
2, high frequency earthing current method utilize elaborate sensor can keep good transport property in very wide frequency range, but ground wire need pass coil, causes the on-the-spot extremely inconvenience of installing.
3, there is not jamproof problem in photo measure method, but sensitivity is very low, needs to use large quantity sensor, so the method practicality is not strong.
The utility model content
There is defective in the utility model for prior art, and proposes a kind of GIS fault diagnosis system that is easy to realize, diagnose accurately based on the vibration signal spectrum analysis.
This GIS fault diagnosis system involving vibrations acceleration transducer, charge amplifier, data collecting instrument and PC, wherein: vibration acceleration sensor is fixed in the outside surface of GIS casing, the output terminal of vibration acceleration sensor connects charge amplifier, charge amplifier is by BNC electric conversion interface connection data Acquisition Instrument, and data collecting instrument connects PC by cable interface.
Described vibration acceleration sensor is to adopt magnet adsorption to be fixed in the outside surface of GIS casing, this vibration acceleration sensor comprises three vibration acceleration sensors, and three vibration acceleration sensors are individually fixed on X, the Y and Z-direction of GIS box outer surface.
Technique effect:
1, system's composition is simple in structure, is easy to Project Realization, realizes that cost is lower.
2, the electric loop of sensor and GIS equipment contacts without any, does not have the interference of electric aspect, has greatly improved accuracy and the reliability of diagnosis.
Description of drawings
Fig. 1 is diagnostic system structured flowchart of the present utility model.
Fig. 2 is the installation site synoptic diagram of vibration acceleration sensor.
Fig. 3 is the diagnostic method process flow diagram that the utility model adopts.
Fig. 4 (a) is the vibration signal time-domain spectral figure before the wavelet de-noising; Fig. 4 (b) is the vibration signal time-domain spectral figure behind the wavelet de-noising.
Fig. 5 (a), Fig. 5 (b), Fig. 5 (c) are respectively GIS vibration signal spectrogram on X, Y and the Z-direction when normally moving.
Rumble spectrum synoptic diagram when Fig. 6 is the various internal fault of GIS, figure center internal label: the vibration that 1 expression shelf depreciation causes; 2 expression foreign matter vibrations; The vibration that 3 expression electromagnetic forces, magnetostriction cause; The vibration that 4 expression electrostatic force cause; The vibration that 5 expression operations cause; The vibration that 6 expression shorted to earths cause.
Embodiment
Below the utility model is described in further detail.
The structure of the utility model GIS fault diagnosis system as shown in Figure 1, involving vibrations acceleration transducer, charge amplifier, data collecting instrument and PC, wherein: vibration acceleration sensor adsorbs (fixing) in the outside surface of GIS casing securely by magnet, the output terminal of vibration acceleration sensor connects charge amplifier, charge amplifier is by BNC electric conversion interface connection data Acquisition Instrument, and data collecting instrument connects PC by cable interface.Vibration acceleration sensor matches with charge amplifier and carries out vibration measurement, data collecting instrument is used for gathering and recording the vibration signal that detects, PC be used for to the signal data of data Acquisition Instrument output store, data process and fault diagnosis, and show diagnostic result.
For the vibration on comprehensive monitoring GIS surface, adopt three vibration acceleration sensors to be individually fixed on X, the Y and Z-direction of GIS box outer surface, concrete fixed position is as shown in Figure 2.
Diagnostic method flow process of the present utility model specifically comprises the steps: as shown in Figure 3
Step 1: the setting sample frequency is 10kHz, and the sampling time is 1 second;
Step 2: the vibration signal that when GIS stable operation, begins to gather GIS;
Step 3: vibration signal is sampled, in sampled data, according to sampling time, sample frequency, sampling number, with integral multiple cycle intercepting vibration signal;
Step 4: the vibration signal of intercepting carries out wavelet de-noising to complete cycle;
Step 5: the signal segment behind the noise reduction is carried out spectrum analysis;
Step 6: calculating the energy at 50Hz frequency place, is feature one with this energy definition; Calculate 100Hz, 200Hz, 300Hz frequency place energy energy and, with this energy be defined as feature two;
Step 7: when feature one compared with normal state reduces 50% when above, change step 8 over to, otherwise change step 3 over to;
Step 8: when feature two compared with normal states increase 100% when above, change step 9 over to, otherwise change step 3 over to;
Step 9: the ratio of calculated characteristics two and feature one is defined as feature three with this ratio;
Step 10: with feature three and the threshold ratio of setting, when feature three during less than threshold value, change step 3 over to, otherwise judge that GIS breaks down.
The below provides an embodiment of the present utility model:
Take the GIS of Jiangsu Power Company east of a river door 110KV electric substation as experimental subjects, build on request hardware system, hardware is selected as follows: vibration acceleration sensor adopts CA-YD-103, and charge amplifier adopts KD5002, data collecting instrument adopts Nicolet7700, and PC adopts notebook computer.
Test by above-mentioned diagnostic method step, the original vibration signal of the GIS normal operating condition that gathers in the experiment is shown in Fig. 4 (a), original vibration signal is carried out wavelet de-noising, vibration signal behind the noise reduction shown in Fig. 4 (b), comparison diagram 4(a) and Fig. 4 (b) can obviously find out noise reduction.
Vibration signal when GIS normally moves on X, Y and the Z-direction is respectively shown in Fig. 5 (a) and (b), (c), comparison diagram 5(a), (b), (c) can find, in the signal spectrum when GIS normally moves, mainly the most obvious in 50Hz place vibration and energy is maximum, and the energy less at 100Hz, 200Hz, 300Hz place.Through calculating, the energy value (normalization) at the vibration signal characteristics frequency place of tested GIS is as shown in table 1.
Table 1
Theoretical analysis as can be known, vibration signal was mainly manifested in high-frequency signal when GIS broke down inside, as shown in Figure 6, thereby fundamental frequency 50Hz place energy can reduce relatively, and the energy at high frequency 100Hz, 200Hz, 300Hz place and can enlarging markedly, therefore the energy value at fundamental frequency place can setting threshold be 1 when its proportion will inevitably surpass fault, reach when the energy at 100Hz, 200Hz, 300Hz place with the ratio of 50Hz place energy or greater than 1 the time, judge that GIS inside breaks down.
Claims (3)
1. GIS fault diagnosis system based on the vibration signal spectrum analysis, it is characterized in that: involving vibrations acceleration transducer, charge amplifier, data collecting instrument and PC, wherein: vibration acceleration sensor is fixed in the outside surface of GIS casing, the output terminal of vibration acceleration sensor connects charge amplifier, charge amplifier is by BNC electric conversion interface connection data Acquisition Instrument, and data collecting instrument connects PC by cable interface.
2. the GIS fault diagnosis system based on the vibration signal spectrum analysis according to claim 1 is characterized in that: described vibration acceleration sensor is to adopt magnet adsorption to be fixed in the outside surface of GIS casing.
3. the GIS fault diagnosis system based on the vibration signal spectrum analysis according to claim 1 and 2, it is characterized in that: described vibration acceleration sensor comprises three vibration acceleration sensors, and three vibration acceleration sensors are individually fixed on X, the Y and Z-direction of GIS box outer surface.
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| CN 201220278365 CN202735426U (en) | 2012-06-13 | 2012-06-13 | GIS fault diagnosis system based on vibration signal spectral analysis |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102735968A (en) * | 2012-06-13 | 2012-10-17 | 江苏省电力公司南京供电公司 | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis |
| CN103364669A (en) * | 2013-07-31 | 2013-10-23 | 广州供电局有限公司 | Online detecting method and system for GIS (Gas Insulated Switchgear) device operating state |
| CN104330691A (en) * | 2014-10-31 | 2015-02-04 | 国家电网公司 | Online monitoring system for power transformer winding vibration signals |
| CN104765965A (en) * | 2015-04-15 | 2015-07-08 | 国家电网公司 | GIS fault diagnosis and reliability analysis method based on fuzzy Petri |
| CN105115584A (en) * | 2014-11-24 | 2015-12-02 | 芜湖蓝宙电子科技有限公司 | Vibration detection device for switch cabinet |
| CN110703078A (en) * | 2019-09-26 | 2020-01-17 | 河海大学 | GIS fault diagnosis method based on spectral energy analysis and self-organizing competition algorithm |
| CN111256932A (en) * | 2020-03-04 | 2020-06-09 | 云南电网有限责任公司电力科学研究院 | GIS vibration signal continuous acquisition method and system based on LabVIEW platform |
| CN113959553A (en) * | 2021-10-29 | 2022-01-21 | 中大检测(湖南)股份有限公司 | Intelligent low-frequency vibration sensor based on CPLD |
-
2012
- 2012-06-13 CN CN 201220278365 patent/CN202735426U/en not_active Expired - Fee Related
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102735968A (en) * | 2012-06-13 | 2012-10-17 | 江苏省电力公司南京供电公司 | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis |
| CN102735968B (en) * | 2012-06-13 | 2014-08-27 | 江苏省电力公司南京供电公司 | GIS (Geographic Information System) fault diagnosis system and method based on vibration signal spectrum analysis |
| CN103364669A (en) * | 2013-07-31 | 2013-10-23 | 广州供电局有限公司 | Online detecting method and system for GIS (Gas Insulated Switchgear) device operating state |
| CN103364669B (en) * | 2013-07-31 | 2016-04-20 | 广州供电局有限公司 | GIS equipment operational condition online test method and system |
| CN104330691A (en) * | 2014-10-31 | 2015-02-04 | 国家电网公司 | Online monitoring system for power transformer winding vibration signals |
| CN105115584A (en) * | 2014-11-24 | 2015-12-02 | 芜湖蓝宙电子科技有限公司 | Vibration detection device for switch cabinet |
| CN104765965A (en) * | 2015-04-15 | 2015-07-08 | 国家电网公司 | GIS fault diagnosis and reliability analysis method based on fuzzy Petri |
| CN110703078A (en) * | 2019-09-26 | 2020-01-17 | 河海大学 | GIS fault diagnosis method based on spectral energy analysis and self-organizing competition algorithm |
| CN111256932A (en) * | 2020-03-04 | 2020-06-09 | 云南电网有限责任公司电力科学研究院 | GIS vibration signal continuous acquisition method and system based on LabVIEW platform |
| CN113959553A (en) * | 2021-10-29 | 2022-01-21 | 中大检测(湖南)股份有限公司 | Intelligent low-frequency vibration sensor based on CPLD |
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