CN102331547A - Transformer winding vibration on-line monitoring and fault diagnosis method - Google Patents

Transformer winding vibration on-line monitoring and fault diagnosis method Download PDF

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Publication number
CN102331547A
CN102331547A CN201110193145A CN201110193145A CN102331547A CN 102331547 A CN102331547 A CN 102331547A CN 201110193145 A CN201110193145 A CN 201110193145A CN 201110193145 A CN201110193145 A CN 201110193145A CN 102331547 A CN102331547 A CN 102331547A
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CN
China
Prior art keywords
transformer
vibration
monitoring
data
acquisition module
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CN201110193145A
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Chinese (zh)
Inventor
叶小松
刘国海
吴振飞
廖志凌
邢鸣
梅从立
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江苏镇安电力设备有限公司
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Priority to CN201110193145A priority Critical patent/CN102331547A/en
Publication of CN102331547A publication Critical patent/CN102331547A/en

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Abstract

The invention discloses a transformer winding vibration on-line monitoring and fault diagnosis method, which comprises a vibration monitoring unit, a signal processing unit, an acquisition module unit and an analysis and diagnosis unit, wherein in the vibration monitoring unit, an acceleration transducer is adopted to acquire vibration data of a transformer; an electric charge amplifier is adopted for the signal processing unit to carry out amplification, filtration and other treatments on sampled data; a TMS320F2812 ADC acquisition module is adopted for the acquisition unit; bidirectional communication between the acquisition module and an analysis and diagnosis port is realized through an Ethernet and an SCI (serial communication interface); and in the analysis and diagnosis module, a transformer vibration peak value is compared with an alarm threshold value to judge whether an alarm happens, when the alarm happens, the spectrum of static data is compared with the characteristic waveform and spectrum to determine the transformer fault and provide early warning, and the safe and stable operation of the transformer is ensured.

Description

A kind of on-line monitoring and method for diagnosing faults of Transformer Winding vibration
Technical field
The present invention relates to a kind of monitoring and method for diagnosing faults of power transformer running status, mainly is the vibration through the on-line monitoring transformer, does necessary method of diagnosing again.
Background technology
Very important equipment in the transformer electric system, its reliability service is most important for the stable operation of electric system.Along with rolling up of load capacity, the impulsive force that transformer outlet short circuit forms causes very big harm to winding, can cause winding deformation; Though; Can also move a period of time after winding is impacted,, when acquiring a certain degree, can cause winding insulation to damage because the deformation of winding has cumulative effect; Destroy the mechanical stability of winding, cause potential risk for the operation of transformer.
Electric current is through after the Transformer Winding, can in the medium in the space of the space at winding place and institute's envelope thereof, set up stray field; Be in the effect that winding itself in this magnetic field receives power again, this power is called " Lorentz force " or is called electric power.Electric power produces mechanical stress in the Transformer Winding material.Transformer Winding is constituted with the copper cash section that the winding cushion block separates, and is because the elasticity of cross-over block is relevant with compressing degree, promptly relevant with acting force.Electric power itself neither be invariable, but change according to rule.Winding has several natural mode shapes, if an electrodynamic frequency and natural mode shape coincide, just produce resonance.In recent years, statistics shows that the winding failure of transformer is the problem that often occurs.Therefore, the detection to Transformer Winding is very important.
At present, the method for existing detection Transformer Winding vibration has: impedance method and frequency response method.The essence of impedance method is the variation that characterizes leakage reactance through the impedance of measuring transformer short circuit in winding, can obtain winding inter-turn open circuit and short circuit, defectives such as the distortion of winding, displacement.Impedance method can detect serious winding deformation, but sensitivity is very low.It is high a lot of that the sensitivity of frequency response method specific impedance method is wanted, but these methods all detect under off-line state.
Summary of the invention
The present invention proposes a kind of method that is used for online detection of voltage device basket vibration and fault diagnosis, the ruuning situation to transformer that can be real-time, long-term is monitored, and early warning is provided, and simultaneously the fault of winding is carried out analysis and judgement.Guarantee the work of transformer ability stability and safety like this.
The present invention utilizes and detects the running status that Transformer Winding is judged in vibration, selects following equipment for use:
Piezoelectric acceleration transducer is used for detecting the vibration of transformer case, comes the duty or the mechanical fault of analyzing and diagnosing Transformer Winding with this.
Charge amplifier, and be connected with cable between the above-mentioned acceleration transducer, be used for the signal that records of acceleration transducer is done amplification, filtering, output voltage signal.
Acquisition module is connected with above-mentioned charge amplifier, is used for collection, mould/number conversion, warning, data transmission, processing and the preservation of signal.
The analyzing and diagnosing terminal; And be connected with the SCI serial communication interface through Ethernet between the described signal acquisition module; Realize two-way real-time communication, the data that signals collecting obtains are done waveform, spectrum analysis, do with this duty and analyze and diagnosis Transformer Winding.
The technical scheme that the present invention adopted is: the vibration of on-line monitoring Transformer Winding is characterized in that sampling simultaneously through a plurality of monitoring sensors that are installed on the transformer; Give signal processing circuit sampled signal, in signal processing circuit, accomplish filtering, amplification, conversion signal; Then, the signal of conversion is realized mould/number conversion in acquisition module, and data transmission is handled and preserved; When backstage analyzing and diagnosing port is delivered in the signal packing that collects; The analyzing and diagnosing terminal utilizes analysis software that the information of sending here is analyzed; Set up monitoring parameter database and property data base, come duty or the fault type and the serious degree of analyzing and diagnosing Transformer Winding.
Described monitoring sensor is a piezoelectric acceleration transducer, and piezoelectric acceleration transducer is based on " piezoelectric effect " principle of work; So-called " piezoelectric effect " is exactly " for the heteropolar crystal that does not have symcenter; be added in external force on the crystal except making crystal generation deformation, also change the polarized state of crystal, set up electric field at crystals; this because mechanical force makes medium that the phenomenon of polarization take place; that the inside of piezoelectric acceleration sensor produces voltage then owing to the acceleration effect produces deformation ", and soon acceleration is transformed into voltage and exports; The vibration on described transformer surface is a transformer surface vibration acceleration.
Described signal processing circuit is a charge amplifier, and the charge-voltage converting utmost point of charge amplifier is the voltage of charge-voltage converting one-tenth with its direct ratio.
Described acquisition module is that 12 ADC that TMS320F2812 carries carry out data acquisition.
Described analyzing and diagnosing terminal is provided with the frequency of sample circuit, the parameters such as sensitivity of charge amplifier through SCI series connection communication interface; Obtain data through Ethernet from the Acquisition Circuit module, and show, analyze; Described analysis mainly is that waveform is decomposed the extraction with eigenwert; Like maximal value, minimum value, mean value and corresponding frequency spectrum; Then, compare with the transformer vibration peak peak value and the predefined transformer peak-to-peak alarming threshold value that calculate, if greater than alarming threshold value; Then send alerting signal; The static data of the data and 10 samplings in front and back of reporting to the police when preserving warning is compared kind and reason that the diagnosis transformer breaks down through the eigenwert that waveform and spectrum analysis to the warning moment obtain.
Described monitoring parameter database can be provided with the monitoring parameter of described treatment circuit and acquisition module, acquisition mode etc.
Described property data base is used to preserve peak-to-peak alarming threshold value and the special parameter of particular transformer of the oil tank of transformer surface vibration of real-time monitoring.
Description of drawings
Fig. 1 structure of the present invention is formed synoptic diagram;
Fig. 2 fault analysis of the present invention and diagnostic process synoptic diagram.
Embodiment
With reference to Fig. 1, structure of the present invention is formed and is comprised detecting sensor, signal processing circuit, acquisition module and analyzing and diagnosing terminal; Monitoring sensor is the piezoelectric type vibration transducer, selects 6 piezoelectric transducers for use, is attached to the diverse location of transformer through magnet base, detects the vibrational state of transformer, and described detection variable is the vibration acceleration on transformer surface.
Pass to charge amplifier to the detection limit of acceleration transducer through cable, charge amplifier is done amplification, Filtering Processing to the voltage signal of piezoelectric sensor output, obtains another group voltage signal; Described charge amplifier needs to link to each other with control computer with USB, through computing machine sensitivity and filter constant is adjusted.
Acquisition module is gathered voltage signal, utilizes 12 ADC modules of TMS320F2812; In the time of setting, (be generally 1 to 3 day, and confirmed according to local load variations situation), (SI is not less than 3 minutes and gets final product according to SI, the SF set; SF is generally 2.5KHz-5KHz; Because the transformer vibration frequency is generally in 50-1000HZ, according to sampling thheorem, what SF will reach this SF at least is about 2.5KHz more than 2 times, because the sample devices frequency limitation can reach 6KHz); Confirm that according to sampled data signal changes the monitoring point of the position of maximum vibration transducer as vibration signal; Adopt the real time bidirectional communication module between acquisition module and the analyzing and diagnosing terminal, connect through Ethernet and SCI serial communication interface.Promptly adopt Ethernet to carry out the telecommunication network communication, adopt the SCI serial communication interface to be used for local communication, comprise that SF is provided with; The AD module realizes signals collecting to monitoring parameter, and acquisition mode adopts synchronized sampling; Computer control AD served as to carry out continuous acquisition at interval with 20 seconds.
With reference to Fig. 1, Fig. 2, in the analyzing and diagnosing terminal, set up the monitoring parameter database and and property data base; In monitoring sensor, signal Processing, each link of acquisition module, write down the static data of sync waveform data, comprise peak-to-peak value, effective value, 1~6 subharmonic value of transformer surface vibration; The static data of monitoring parameter was the interval with 20 minutes and 2 hours, record maximal value, minimum value and mean value; At the analyzing and diagnosing terminal; The peak-to-peak alarming threshold value of the peak-to-peak value of the transformer surface vibration that usefulness calculates and the transformer vibration signal of setting compares, if surpass alarming threshold value, sends alerting signal; The static data that 10 times are sampled and obtain before and after preserving warning waveform signal constantly and reporting to the police; The analyzing and diagnosing terminal has property data base, with decompose to waveform compare duty or the failure mode and the order of severity of judgement transformer with the wave spectrum of frequency spectrum and property data base.

Claims (7)

1. the on-line monitoring and the method for diagnosing faults of Transformer Winding vibration, it is characterized in that: the technical scheme that is adopted comprises following content:
Through monitoring sensor transformer is detected,, send the analyzing and diagnosing terminal processes acquired signal at last through signal processing circuit, acquisition module, with this as transformer running status or failure judgment foundation:
(1) through the monitoring sensor that is installed on the transformer vibration on transformer surface is sampled synchronously;
(2) sampled signal feed signals treatment circuit, in signal processing circuit, accomplish filtering, amplification, conversion to signal, export another group voltage signal;
(3) voltage signal of conversion is realized mould/number conversion through acquisition module in acquisition module, and data transmission is handled and preserved;
(4) deliver to backstage analyzing and diagnosing port to the signal packing that collects, the analyzing and diagnosing terminal is analyzed these information, duty or the fault type and the serious degree of diagnosis Transformer Winding.
2. require described Transformer Winding vibration online monitoring method according to right 1, it is characterized in that: in step (1), described monitoring sensor is a piezoelectric acceleration transducer, and the vibration on described transformer surface is a transformer surface vibration acceleration.
3. requiring described Transformer Winding vibration online monitoring method according to right 1, it is characterized in that, is charge amplifier in the signal processing circuit described in the step (2), the voltage that the charge-voltage converting utmost point of charge amplifier becomes to be directly proportional with it charge-voltage converting.
4. require the method for described Transformer Winding vibration online monitoring according to right 2, it is characterized in that, described piezoelectric acceleration transducer is based on " piezoelectric effect " principle work.
5. requiring the basket vibration on-line monitoring method of described transformer according to right 1, it is characterized in that, is 12 adc data acquisition modules that TMS320F2812 carries at the acquisition module described in the step (3).
6. require described transformer vibration online monitoring and diagnostic method according to right 1; At the analyzing and diagnosing terminal described in the step (4); Through SCI series connection communication interface the frequency of sample circuit, the parameters such as sensitivity of charge amplifier are provided with; Obtain data through Ethernet from the Acquisition Circuit module, and show, analyze; Described analysis mainly is that waveform is decomposed the extraction with eigenwert, like maximal value, minimum value, mean value and corresponding frequency spectrum; Described monitoring parameter database is as the foundation that the monitoring parameter of described treatment circuit and acquisition module, acquisition mode etc. are provided with; Described property data base is used to preserve peak-to-peak alarming threshold value and the special parameter of transformer of the oil tank of transformer surface vibration of real-time monitoring.
7. according to the method for right 5 described Transformer Winding vibration online monitorings, it is characterized in that described acquisition module was gathered once in per 20 seconds; The data of gathering show on the computing machine of fault diagnosis end in real time; Static data after Computer Processing is carried out 20 minutes being that current 24 hours maximal value, minimum value and the mean value trend data at interval performs an analysis; Transformer vibration peak peak value and predefined transformer peak-to-peak alarming threshold value with calculating compare; If greater than alarming threshold value, then send alerting signal, the static data of the data and 10 samplings in front and back of reporting to the police when preserving warning; Eigenwert through report to the police waveform constantly and spectrum analysis are obtained is compared, kind and reason that the diagnosis transformer breaks down.
CN201110193145A 2011-07-12 2011-07-12 Transformer winding vibration on-line monitoring and fault diagnosis method CN102331547A (en)

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Cited By (14)

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Publication number Priority date Publication date Assignee Title
CN102707176A (en) * 2012-06-13 2012-10-03 中国电力科学研究院 Failure predication method for static security analysis of three-winding transformer
CN102829857A (en) * 2012-08-10 2012-12-19 上海卫星工程研究所 Monitoring method of satellite air transportation vibration response
CN103454520A (en) * 2013-08-02 2013-12-18 国家电网公司 Transformer winding deformation on-line monitoring method based on on-line frequency response method
US20140118003A1 (en) * 2012-06-13 2014-05-01 Jiangsu Electric Power Company Fault diagnosis and preliminary location system and method for transformer core looseness
CN104280071A (en) * 2014-10-16 2015-01-14 国家电网公司 Fault alarming device and fault detecting method for oil-immersed power transformers
CN104330691A (en) * 2014-10-31 2015-02-04 国家电网公司 Online monitoring system for power transformer winding vibration signals
CN104406680A (en) * 2014-11-29 2015-03-11 国网山西省电力公司晋城供电公司 Method for extracting vibration acceleration signal characteristics of measurement points on surfaces of power transformers
CN104635101A (en) * 2013-11-12 2015-05-20 珠海格力电器股份有限公司 Method, device and system for detecting open-circuit faults of transformers
CN104964737A (en) * 2015-07-20 2015-10-07 广东电网有限责任公司电力科学研究院 Device for measuring transformer winding vibration caused by transformer intruding wave
CN109932053A (en) * 2019-03-19 2019-06-25 国网江苏省电力有限公司检修分公司 A kind of state monitoring apparatus and method for high-voltage shunt reactor
CN110058117A (en) * 2019-04-10 2019-07-26 西安交通大学 A kind of reactor interturn short circuit fault detection method based on outer encapsulating vibration distribution
CN110174167A (en) * 2019-05-21 2019-08-27 国网江苏省电力有限公司检修分公司 Vibration of reactor signal acquiring system and vibration signal characteristics frequency extraction method
CN110186557A (en) * 2019-06-05 2019-08-30 国网江苏省电力有限公司检修分公司 A kind of Reactor Fault diagnostic method
CN111830912A (en) * 2019-04-18 2020-10-27 万洲电气股份有限公司 Intelligent optimization energy-saving system and method for industrial production line equipment

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Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102707176A (en) * 2012-06-13 2012-10-03 中国电力科学研究院 Failure predication method for static security analysis of three-winding transformer
US9404957B2 (en) * 2012-06-13 2016-08-02 Jiangsu Nanjing Power Supply Company Fault diagnosis and preliminary location system and method for transformer core looseness
US20140118003A1 (en) * 2012-06-13 2014-05-01 Jiangsu Electric Power Company Fault diagnosis and preliminary location system and method for transformer core looseness
CN102707176B (en) * 2012-06-13 2014-09-10 中国电力科学研究院 Failure predication method for static security analysis of three-winding transformer
CN102829857A (en) * 2012-08-10 2012-12-19 上海卫星工程研究所 Monitoring method of satellite air transportation vibration response
CN103454520A (en) * 2013-08-02 2013-12-18 国家电网公司 Transformer winding deformation on-line monitoring method based on on-line frequency response method
CN104635101B (en) * 2013-11-12 2018-09-18 珠海格力电器股份有限公司 Transformer open circuit fault detection method, apparatus and system
CN104635101A (en) * 2013-11-12 2015-05-20 珠海格力电器股份有限公司 Method, device and system for detecting open-circuit faults of transformers
CN104280071A (en) * 2014-10-16 2015-01-14 国家电网公司 Fault alarming device and fault detecting method for oil-immersed power transformers
CN104280071B (en) * 2014-10-16 2016-07-06 国家电网公司 A kind of fault detection method of oil-immersed power transformer accident warning device
CN104330691A (en) * 2014-10-31 2015-02-04 国家电网公司 Online monitoring system for power transformer winding vibration signals
CN104406680A (en) * 2014-11-29 2015-03-11 国网山西省电力公司晋城供电公司 Method for extracting vibration acceleration signal characteristics of measurement points on surfaces of power transformers
CN104964737A (en) * 2015-07-20 2015-10-07 广东电网有限责任公司电力科学研究院 Device for measuring transformer winding vibration caused by transformer intruding wave
CN104964737B (en) * 2015-07-20 2017-11-21 广东电网有限责任公司电力科学研究院 The transformer winding vibration measurement apparatus that transformer Intruding wave triggers
CN109932053A (en) * 2019-03-19 2019-06-25 国网江苏省电力有限公司检修分公司 A kind of state monitoring apparatus and method for high-voltage shunt reactor
CN110058117A (en) * 2019-04-10 2019-07-26 西安交通大学 A kind of reactor interturn short circuit fault detection method based on outer encapsulating vibration distribution
CN110058117B (en) * 2019-04-10 2020-03-17 西安交通大学 Reactor turn-to-turn short circuit fault detection method based on outer package vibration distribution
CN111830912A (en) * 2019-04-18 2020-10-27 万洲电气股份有限公司 Intelligent optimization energy-saving system and method for industrial production line equipment
CN110174167A (en) * 2019-05-21 2019-08-27 国网江苏省电力有限公司检修分公司 Vibration of reactor signal acquiring system and vibration signal characteristics frequency extraction method
CN110186557A (en) * 2019-06-05 2019-08-30 国网江苏省电力有限公司检修分公司 A kind of Reactor Fault diagnostic method

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Application publication date: 20120125