CN102706443B - Transformer fault detection device based on analysis of vibration signals - Google Patents
Transformer fault detection device based on analysis of vibration signals Download PDFInfo
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Abstract
The invention relates to a transformer fault detection device based on analysis of vibration signals. The detection device comprises a sensing and measuring module, a signal collecting module, a signal processing module and an output module, wherein the signal output end of the sensing and measuring module is connected with the signal input end of the signal collecting module; the signal output end of the signal collecting module is connected with the signal input end of the signal processing module; and the signal output end of the signal processing module is respectively connected with the signal input end of the signal collecting module and the signal input end of the output module. The signal processing module related by the invention adopts a model-STM32F103VET6 single-chip microcomputer as a core operation unit, the frequency spectrum analysis of 12 lines of vibration sensed signals is completed, the obtained frequency spectrum characteristics are compared with the frequency spectrum characteristics of the vibration signals of a transformer under a normal state, and the type of a fault of the transformer can be determined by looking up a fault comparison table of the power transformer.
Description
Technical field
The present invention relates to large-scale power transformer the be in operation detection field of fault, particularly a kind of transformer fault pick-up unit based on analysis of vibration signal.
Background technology
Large-scale power transformer is one of most important in whole electric system, cost is the highest equipment, and the nucleus equipment of Ye Shi transformer station is between system, to connect and the regional electric hinge of providing and delivering, and its running status is directly connected to the operation of whole electric system.In During Process of Long-term Operation, it is inevitable that transformer breaks down, and that the fault of transformer has is multiple, wherein mechanical fault is the one of the main reasons of transformer fault, mechanical fault refers to winding and distortion unshakable in one's determination, wherein the distortion of winding and distortion meeting cause the anti-short circuit capability of transformer to decline, and easily cause great fault.Along with the variation of time, winding and distortion meeting unshakable in one's determination are more severe, and the impact of electric system is also deepened thereupon.Therefore by the vibration signal of research transformer, realize on-line real time monitoring transformer, Zhe Dui State Grid system stable operation is significant.
At present, to the detection method of transformer fault, be mainly Oil chromatography analysis, internal fault aerogenesis and normal gas producing difference technically when differentiating transformer operation, thus reach the object of fault diagnosis.The method needs regularly the oil of transformer oil-filled equipment to be carried out to oil chromatography analysis, has certain limitation, also can only judge to a certain extent the fault of transformer, and can not real time on-line monitoring transformer, the in time operation conditions of feedback transformer.Therefore the accurate judgement that this scheme can not really solve power transformer fault in operational process.
Summary of the invention
The object of the invention is to overcome the shortcoming and defect of above-mentioned prior art, provide that a kind of accuracy of detection is high, real-time good, data-handling capacity strong basis is in the transformer fault pick-up unit of analysis of vibration signal.
For achieving the above object, technical scheme of the present invention is:
A transformer fault pick-up unit based on analysis of vibration signal, comprises sensing measurement module, signal acquisition module, signal processing module, output module;
The signal output part of described sensing measurement module is connected with the signal input part of signal acquisition module; The signal output part of signal acquisition module is connected with the signal input part of signal processing module; The signal output part of signal processing module is connected with the signal input part of signal acquisition module and the signal input part of output module respectively.
Described sensing measurement module comprises acceleration transducer, Hyblid Buffer Amplifier filtering circuit, the signal output part of described acceleration transducer is connected with the signal input part of Hyblid Buffer Amplifier filtering circuit, and the signal output part of Hyblid Buffer Amplifier filtering circuit is connected with the signal input part of signal acquisition module.
Described signal acquisition module comprises analog switch group, amplifying circuit, low-pass filter, absolute value detecting circuit, square wave conversion circuit, peak detection circuit;
The signal output part of signal processing module is connected with the signal input part of analog switch group, the signal output part of analog switch group is connected with the signal input part of amplifying circuit, the signal output part of Hyblid Buffer Amplifier filtering circuit is connected with the input end of amplifying circuit, the signal output part of amplifying circuit is connected with the signal input part of low-pass filter, the signal output part of low-pass filter respectively with absolute value detecting circuit, the signal input part of peak detection circuit connects, the signal output part of absolute value detecting circuit is connected with the signal input part of square wave conversion circuit, described low-pass filter, the signal output part of square wave conversion circuit and peak detection circuit is connected with the signal input part of signal processing module.
Described analog switch group is high-speed analog switch group; Analog switches different in described analog switch group are with different bias voltages.Amplifying circuit is the small signal amplification circuit that common amplifier forms; Low-pass filter is quadravalence low-pass filter.
Described signal processing module comprises for the analog to digital converter of converting analogue amount signal, for the treatment of the processing module of digital signal;
The signal output part of described low-pass filter, square wave conversion circuit and peak detection circuit is connected with the signal input part of analog to digital converter; The signal output part of analog to digital converter is connected with the signal input part of processing module for the treatment of digital signal, for the treatment of the signal output part of the processing module of digital signal, is connected respectively with the signal input part of analog switch group, output module.
Described analog to digital converter is the analog to digital converter of 10 precision; Described output module comprises LCD MODULE and/or sending module.
Described signal processing module is also connected with for preserving the internal storage of image data.
The present invention relatively now technology tool has the following advantages and beneficial effect:
(1) by being attached to the acceleration sensing measurement module of transformer box wall, detect the vibration signal of transformer, can according to actual conditions, change the installation site of sensor, there is very large dirigibility and versatility;
(2) can on-line monitoring the operation conditions of transformer, can find in time the fault of transformer;
(3) harvester and power transformer do not have being connected on electric, avoid the problem of magnetic interference.
Accompanying drawing explanation
Fig. 1 is system chart of the present invention;
Fig. 2 is acceleration sensing measurement module scheme of installation of the present invention;
Fig. 3 is ADXL50 acceleration sensor circuit figure of the present invention;
Fig. 4 is the small signal amplification circuit figure described in native system;
Fig. 5 is quadravalence low-pass filter circuit figure of the present invention;
Fig. 6 is absolute value detecting circuit figure of the present invention;
Fig. 7 is peak detection circuit figure of the present invention;
Fig. 8 is square wave conversion circuit figure of the present invention.
Embodiment
Below in conjunction with example and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention are not limited to this.
As shown in Figure 1, the transformer fault pick-up unit based on analysis of vibration signal of the present invention, comprises sensing measurement module 1, signal acquisition module 2, signal processing module 3, output module 4;
The signal output part of described sensing measurement module 1 is connected with the signal input part of signal acquisition module 2; The signal output part of signal acquisition module 2 is connected with the signal input part of signal processing module 3; The signal output part of signal processing module 3 is connected with the signal input part of signal acquisition module 2 and the signal input part of output module 4 respectively.
Sensing measurement module 1 comprises acceleration transducer 11, Hyblid Buffer Amplifier filtering circuit 12, the signal output part of acceleration transducer 11 is connected with the signal input part of Hyblid Buffer Amplifier filtering circuit 32, and the signal output part of Hyblid Buffer Amplifier filtering circuit 32 is connected with the signal input part of signal acquisition module 2.
Signal acquisition module 2 comprises analog switch group 21, amplifying circuit 22, low-pass filter 23, absolute value detecting circuit 24, square wave conversion circuit 25, peak detection circuit 26;
The signal output part of signal processing module 3 is connected with the signal input part of analog switch group 21, the signal output part of analog switch group 21 is connected with the signal input part of amplifying circuit 22, the signal output part of Hyblid Buffer Amplifier filtering circuit 32 is connected with the input end of amplifying circuit 22, the signal output part of amplifying circuit 22 is connected with the signal input part of low-pass filter 23, the signal output part of low-pass filter 23 respectively with absolute value detecting circuit 24, the signal input part of peak detection circuit 26 connects, the signal output part of absolute value detecting circuit 24 is connected with the signal input part of square wave conversion circuit 25, described low-pass filter 23, the signal output part of square wave conversion circuit 25 and peak detection circuit 26 is connected with the signal input part of signal processing module 3.
Analog switch group 21 is high-speed analog switch group; Amplifying circuit 22 is the small signal amplification circuit that common amplifier forms; Low-pass filter 23 is quadravalence low-pass filter.
Signal processing module 3 comprises for the analog to digital converter 31 of converting analogue amount signal, for the treatment of the processing module 32 of digital signal;
The signal output part of low-pass filter 23, square wave conversion circuit 25 and peak detection circuit 26 is connected with the signal input part of analog to digital converter 31; The signal output part of analog to digital converter 31 is connected with the signal input part of processing module 32 for the treatment of digital signal, for the treatment of the signal output part of the processing module 32 of digital signal, is connected respectively with the signal input part of analog switch group 21, output module 4.
Analog to digital converter 31 is the analog to digital converter of 10 precision; Described output module 4 comprises LCD MODULE 41 and/or sending module 42.
Sensing measurement module adopts the acceleration transducer that model is ADXL50 in the present embodiment, and display module 41 adopts 128*64 LCDs, and wherein signal processing module 3 adopts the single-chip microcomputer that model is STM32F103VET6.
As shown in Figure 2, the acceleration transducer of ADXL50 is equally distributed to be arranged on the tank wall of power transformer, and the installation site of the acceleration transducer of each ADXL50 is all box location corresponding to intersection unshakable in one's determination, each 6 tunnels, both sides, Gong12 road.
A transformer fault detection method based on analysis of vibration signal, comprises the following steps:
1) acceleration transducer 11 obtains the transformer vibration signal on transformer box wall, and output analog voltage is to amplifying circuit 22; The switch of analog switch in signal processing module 2 control simulation switches set 21, the reference voltage of change amplifying circuit 22;
2) analog voltage through amplifying circuit 22 outputs is input to analog to digital converter 31 after filtering, peak value detection, square wave conversion, and the digital data transmission obtaining is arrived to the processing module 32 for the treatment of digital signal;
3) for the treatment of the digital signal of 32 pairs of preservations of processing module of digital signal, carry out wavelet transformation and obtain actual frequency domain figure; Relatively actual frequency domain figure and the normal frequency domain figure of transformer, judge whether transformer has fault.
Workflow of the present invention comprises: the analog to digital converter that (1) STM32 Single-chip Controlling is integrated in 10 precision in sheet carries out analog to digital conversion to the data that gather, and be stored on outside memory device, by utilizing wavelet analysis to convert, the vibration signal of power transformer is transformed from the time domain to frequency domain; (2), the in the situation that of power transformer zero load, through repeatedly measuring, draw vibration frequency domain figure unshakable in one's determination under transformer normal condition, and be stored on Flash memory device; (3) utilize vibration signal unshakable in one's determination, from the transformer vibration signal detecting, isolate the vibration signal of winding; (4) by comparing respectively transformer core and the vibration signal of winding reality and the vibration signal under normal condition, can judge the operation conditions of transformer.Judgement transformer fault comprises following situation:
11) under normal condition, the fundamental frequency of Amorphous Alloy Core Transformer vibration signal mainly concentrates on 100Hz place, and with higher hamonic wave (200Hz,, 300 Hz, 400 Hz ...), in 1.5kHz left and right, frequency component decays to 0 substantially.When record transformer vibration signal 100Hz fundamental frequency place amplitude be greater than normal value 50mv more than seven times time, illustrate that winding is short-circuited;
12) in the frequency domain figure of the vibration signal of unshakable in one's determination and winding, continue to occur more than 5 times higher hamonic wave, and concentrate on 200Hz within the scope of 1.5kHz time, transformer may break down, and should do further detection;
13) when the amplitude of frequency domain figure of iron coring vibration signal and the frequency domain figure amplitude of normal vibration signal differ 10%, give a warning, while differing 20%, transformer should be deactivated.
Claims (5)
1. the transformer fault pick-up unit based on analysis of vibration signal, is characterized in that comprising sensing measurement module (1), signal acquisition module (2), signal processing module (3), output module (4);
The signal output part of described sensing measurement module (1) is connected with the signal input part of signal acquisition module (2); The signal output part of signal acquisition module (2) is connected with the signal input part of signal processing module (3); The signal output part of signal processing module (3) is connected with the signal input part of signal acquisition module (2) and the signal input part of output module (4) respectively;
Described sensing measurement module (1) comprises acceleration transducer (11), Hyblid Buffer Amplifier filtering circuit (12), the signal output part of described acceleration transducer (11) is connected with the signal input part of Hyblid Buffer Amplifier filtering circuit (12), and the signal output part of Hyblid Buffer Amplifier filtering circuit (12) is connected with the signal input part of signal acquisition module (2);
Described signal acquisition module (2) comprises analog switch group (21), amplifying circuit (22), low-pass filter (23), absolute value detecting circuit (24), square wave conversion circuit (25), peak detection circuit (26);
The signal output part of signal processing module (3) is connected with the signal input part of analog switch group (21), the signal output part of analog switch group (21) is connected with the signal input part of amplifying circuit (22), the signal output part of Hyblid Buffer Amplifier filtering circuit (12) is connected with the input end of amplifying circuit (22), the signal output part of amplifying circuit (22) is connected with the signal input part of low-pass filter (23), the signal output part of low-pass filter (23) respectively with absolute value detecting circuit (24), the signal input part of peak detection circuit (26) connects, the signal output part of absolute value detecting circuit (24) is connected with the signal input part of square wave conversion circuit (25), described low-pass filter (23), the signal output part of square wave conversion circuit (25) and peak detection circuit (26) is connected with the signal input part of signal processing module (3).
2. the transformer fault pick-up unit based on analysis of vibration signal according to claim 1, is characterized in that described analog switch group (21) is high-speed analog switch group; Amplifying circuit (22) is small signal amplification circuit; Low-pass filter (23) is quadravalence low-pass filter.
3. the transformer fault pick-up unit based on analysis of vibration signal according to claim 1, it is characterized in that described signal processing module (3) comprise analog to digital converter (31) for converting analogue amount signal, for the treatment of the processing module (32) of digital signal;
The signal output part of described low-pass filter (23), square wave conversion circuit (25) and peak detection circuit (26) is connected with the signal input part of analog to digital converter (31); The signal output part of analog to digital converter (31) is connected with the signal input part of processing module (32) for the treatment of digital signal, for the treatment of the signal output part of the processing module (32) of digital signal, is connected respectively with the signal input part of analog switch group (21), output module (4).
4. the transformer fault pick-up unit based on analysis of vibration signal according to claim 3, is characterized in that described analog to digital converter (31) is the analog to digital converter of 10 precision; Described output module (4) comprises LCD MODULE (41) and/or sending module (42).
5. the transformer fault pick-up unit based on analysis of vibration signal according to claim 4, is characterized in that described signal processing module (3) also comprises for preserving the internal storage of image data.
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| CN201210180581.2A CN102706443B (en) | 2012-06-04 | 2012-06-04 | Transformer fault detection device based on analysis of vibration signals |
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| JP6293537B2 (en) * | 2014-03-19 | 2018-03-14 | 株式会社東芝 | Inspection system and abnormality detection method |
| CN104833413A (en) * | 2015-03-11 | 2015-08-12 | 国网浙江海盐县供电公司 | On-line vibration monitoring device used for transformer |
| CN105759160B (en) * | 2016-05-11 | 2019-01-25 | 郑州瑞能电气有限公司 | A kind of non-intruding line-breaker or transformer online monitoring method |
| CN110726539A (en) * | 2019-09-27 | 2020-01-24 | 国网江苏省电力有限公司盐城供电分公司 | Transformer tap switch mechanical fault detection system based on multiple signal analysis and detection method thereof |
| CN111259737B (en) * | 2020-01-08 | 2023-07-25 | 科大讯飞股份有限公司 | Method and device for predicting failure of steering wheel of vehicle, electronic equipment and storage medium |
| CN113759188A (en) * | 2021-07-02 | 2021-12-07 | 国网河北省电力有限公司电力科学研究院 | Parallel reactor fault detection method and device and terminal |
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| CN201672968U (en) * | 2010-05-14 | 2010-12-15 | 成都赛腾自动化工程有限公司 | Adaptive signal adjusting device for vibrating sensor |
| CN202119772U (en) * | 2011-06-01 | 2012-01-18 | 王新勇 | Online vehicle-mounted soil compactness measuring instrument |
| CN102748125B (en) * | 2011-06-29 | 2015-12-09 | 摩尔动力(北京)技术股份有限公司 | High-pressure turbine piston composite thermodynamic system and improve the method for its efficiency |
| CN202748125U (en) * | 2012-06-04 | 2013-02-20 | 广东工业大学 | Transformer fault detection device based on vibration signal analysis |
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Effective date of registration: 20221205 Address after: Unit 1601-2, 16th floor, building 6, area a, Hantian science and Technology City, 17 Shenhai Road, Guicheng Street, Nanhai District, Foshan City, Guangdong Province, 528000 Patentee after: FOSHAN WORLD INTELLIGNET TECHNOLOGY CO.,LTD. Address before: 510006 No. 100 West Ring Road, Guangzhou University, Guangzhou, Guangdong, Panyu District Patentee before: GUANGDONG University OF TECHNOLOGY |