CN208477036U - One kind, which has, carries transformer multiple faults analysis system - Google Patents
One kind, which has, carries transformer multiple faults analysis system Download PDFInfo
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- CN208477036U CN208477036U CN201820968113.4U CN201820968113U CN208477036U CN 208477036 U CN208477036 U CN 208477036U CN 201820968113 U CN201820968113 U CN 201820968113U CN 208477036 U CN208477036 U CN 208477036U
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Abstract
The utility model relates to status of electric power detection fields, and being specifically related to one kind has load transformer multiple faults analysis system.This kind, which has, carries transformer multiple faults analysis system, including acoustic-electric acquisition module, signal processing module, signal analysis module, display module and power management module.The utility model has following advantage: 1, system and having and carry transformer without electrical connection, live line measurement can be directly carried out when not powering off and is predicted have the operating status for carrying transformer;2, system uses a variety of mechanically and electrically status informations of acoustoelectric combined measuring technology quantization signifying Transformer Operation Status;3, system is highly integrated in structure, and weight is light, can one operate and manage.
Description
Technical field
The utility model relates to status of electric power detection fields, and being specifically related to one kind has load transformer multiple faults analysis
System.
Background technique
At present to having the detection for carrying transformer mainly by mechanical characteristic test mode, checking has the switching for carrying transformer
Whether program, transition resistance etc. are normal.In terms of its technical disadvantages is embodied in following two: transformer circuit need to be disconnected when 1, testing
Test macro is embedded in transformer circuit, test period compares limitation, it is difficult to which precognition has the operating status for carrying transformer in time
The variation of generation;2, detection and diagnosis method is more single, lacks the composite measurement for plant machinery and electric property and comments
Valence mode is difficult to there is load transformer gear to couple the failure problems such as exception, electric arc, poor contact of contacts, three-phase same period exception
Diagnosis.
Utility model content
In order to overcome the shortcomings in the prior art, the utility model, which provides one kind, load transformer multiple faults analysis system, is
It unites and has and carry transformer without electrical connection, being able to carry out live line measurement and predicting has the operating status for carrying transformer, signal analysis
Module can provide the diagnostic result of various fault types, and solving current detection technical testing can not use in energization, week
The problem of phase limitation, shortage resultant fault diagnosis mechanism.
To achieve the above object, the technical solution adopted in the utility model is as follows: one kind, which has, carries the analysis of transformer multiple faults
System, including acoustic-electric acquisition module, signal processing module, signal analysis module, display module and power management module;
Acoustic-electric acquisition module include the sound collecting device that is adsorbed on the fuel tank outer wall of transformer control loop face and
The pulse acquisition device being embedded in transformer power loop;
Signal processing module includes the modulus that digital signal is converted into the analog signal for obtaining acoustic-electric acquisition module
Reforming unit and the feature deriving means to extract the signal characteristic parameter after converting, the characteristic parameter include acoustic signals
With frequency domain-amplitude waveform of pulse signal, timing-amplitude waveform, timing-energy waveform, frequency domain-energy waveform;
Signal analysis module is set on industrial personal computer, to divide the various characteristic signals that feature deriving means extract
It analyses and result is sent to display module;
Power management module connects industrial personal computer and display module, provides electric energy for analysis system.
Further, sound collecting device passes through magnetic sea whelk absorption.
Further, pulse acquisition device is embedded in using Hall coil.
Further, between analog-to-digital conversion device and feature deriving means be equipped with to amplify conversion after digital signal signal
Amplifying device.
Further, it is equipped between signal amplifying apparatus and feature deriving means to identify external acoustic waves and electromagnetic noise simultaneously
The Noise Suppression Device inhibited.
Further, it is equipped between Noise Suppression Device and feature deriving means to separate different frequency sections in useful signal
Component signal demodulator device.
Further, signal analysis module includes Time-Series analysis module, entropy spectral analysis module, frequency-domain analysis module, period
Waveform comparison module, lateral waveform comparison module and spectrum library analysis module.
Further, display module includes analyzing the industrial display of result and to control industrial display to show
The industrial key mouse of operation.
Further, power management module includes to provide the portable battery of electric energy for analysis system and to manage
The electric power controller of battery.
From the above description of the utility model, it can be seen, compared with prior art, the utility model, which provides one kind, has load to become
Depressor multiple faults analysis system have following points advantage: 1, system and have carry transformer without electrical connection, can not power off
In the case of directly carry out live line measurement and predict have carry transformer operating status;2, system uses acoustoelectric combined measuring technology energy
A variety of mechanically and electrically status informations of quantization signifying Transformer Operation Status;3, system is highly integrated in structure, light-weight
Just, can one operate and manage.
Detailed description of the invention
Fig. 1 is the scheme of installation of the utility model acoustic-electric acquisition module.
Fig. 2 is the module connection diagram of the utility model.
Specific embodiment
Below by way of specific embodiment, the utility model will be further described.
Specific embodiment
Shown in reference picture 1, Fig. 2, one kind, which has, carries transformer multiple faults analysis system 100, including acoustic-electric acquisition module 1, letter
Number processing module 2, signal analysis module 3, display module 4 and power management module 5.
Acoustic-electric acquisition module 1 includes sound collecting device 11 and pulse acquisition device 12.Sound collecting device 11 passes through magnetic
Property sea whelk be adsorbed on the 6 outside wall surface of fuel tank of transformer control loop face, acquisition original acoustic wave signal is simultaneously transmitted at signal
Module 2 is managed, 11 measurement range of sound collecting device is ± 80g, and frequency response range is 5~20kHz.Pulse acquisition device 12 makes
It is embedded in Hall coil in the current line of transformer power loop 7, acquires original burst signal and is transmitted to signal processing mould
Block 2,12 measurement range of pulse acquisition device are 0~240A, and frequency response range is 0 ~ 40kHz.
Signal processing module 2 includes modulus signal reforming unit 21, signal amplifying apparatus 22, Noise Suppression Device 23, letter
Number detector arrangement 24 and feature deriving means 25.Modulus signal reforming unit 21 and sound collecting device 11 and pulse acquisition device
12 connections, the analog signal that will acquire are converted into digital signal, digital data transmission that treated to signal amplifying apparatus 22.
Digital signal is amplified processing by signal amplifying apparatus 22, is further transmitted to Noise Suppression Device 23.Noise Suppression Device
23 identification external acoustic waves and electromagnetic noise, filter out noise data, and transmit a signal to signal demodulator device 24.Signal demodulator dress
The component of different frequency sections in 24 separation effective digital signals is set, and multipath component signal is transmitted to feature deriving means 25.
Signal characteristic parameter after the extraction detection of feature deriving means 25, the frequency domain comprising acoustic signals and pulse signal-amplitude waveform,
Timing-amplitude waveform, timing-energy waveform, frequency domain-energy waveform, each signature waveform are transmitted to signal analysis module 3.
Signal analysis module 3 is arranged on industrial personal computer 30, including Time-Series analysis module 31, entropy spectral analysis module 32, frequency domain
Analysis module 33, periodic waveform comparison module 34, lateral waveform comparison module 35, spectrum library analysis module 36.Time-Series analysis mould
Block 31 receives the timing-amplitude waveform and timing-entropy waveform that feature deriving means 25 export, and completes timing Correctness Analysis.
Frequency-domain analysis module 33 receives the frequency domain-amplitude waveform and frequency domain-entropy waveform that feature deriving means 25 export, and completes waveform frequency
Domain Correctness Analysis.Periodic waveform comparison module 34 is connect with feature deriving means 25 and spectrum library analysis module 36 respectively, is connect
Timing-amplitude waveform that feature deriving means 25 export is received, and calls going through for same test object in spectrum library analysis module 36
History detection waveform, the registration analysis of execution cycle waveform.Lateral waveform comparison module 35 respectively with feature deriving means 25, figure
It composes library analysis module 36 to connect, receives timing-amplitude waveform that feature deriving means 25 export, and call spectrum library analysis module
The history detection waveform of different test objects in 36 completes the registration analysis of lateral waveform.Spectrum library analysis module 36 and spy
It levies extraction element 25 to connect, receives frequency domain-amplitude waveform, the timing-amplitude waveform, timing-entropy that feature deriving means 25 export
It is worth waveform, frequency domain-entropy waveform, and calls the typical fault waveform in spectrum library, completes the diagnosis of fault type.Time-Series analysis
Module 31, entropy spectral analysis module 32, frequency-domain analysis module 33, periodic waveform comparison module 34, lateral 35 and of waveform comparison module
The data result that spectrum library analysis module 36 is exported is transmitted to display module 4 by the display output interface in industrial personal computer 30.
Display module 4 includes industrial display 41 and work key mouse 42, display module 4 and industrial personal computer 30, power management mould
Block 5 connects, and to show original signal data, signature waveform, analysis result, spectrum library and suggested measures, and carries out screen
Interface operation.
Power management module 5 is to provide electric energy for system and carries out the power managements such as power managed, timing control, including
Portable battery 51 and electric power controller 52.Wherein, portable battery cruise duration >=8 hour.
It above are only the preferred embodiment of the utility model, but the design concept of the utility model is not limited to
This, all non-essential modifications to the present invention made by this concept should belong to infringement scope of protection of the utility model
Behavior.
Claims (9)
1. one kind have carry transformer multiple faults analysis system, it is characterised in that: including acoustic-electric acquisition module, signal processing module,
Signal analysis module, display module and power management module;
The acoustic-electric acquisition module include the sound collecting device that is adsorbed on the fuel tank outer wall of transformer control loop face and
The pulse acquisition device being embedded in transformer power loop;
The signal processing module includes the modulus that digital signal is converted into the analog signal for obtaining acoustic-electric acquisition module
Reforming unit and the feature deriving means to extract the signal characteristic parameter after converting, the characteristic parameter include acoustic signals
With frequency domain-amplitude waveform of pulse signal, timing-amplitude waveform, timing-energy waveform, frequency domain-energy waveform;
The signal analysis module is set on industrial personal computer, to divide the various characteristic signals that feature deriving means extract
It analyses and result is sent to display module;
The power management module connection industrial personal computer and display module, provide electric energy for analysis system.
2. one kind according to claim 1, which has, carries transformer multiple faults analysis system, it is characterised in that the sound collecting
Device passes through magnetic sea whelk absorption.
3. one kind according to claim 1, which has, carries transformer multiple faults analysis system, it is characterised in that: the pulse is adopted
Acquisition means are embedded in using Hall coil.
4. one kind according to claim 1, which has, carries transformer multiple faults analysis system, it is characterised in that: the analog-to-digital conversion
Between device and feature deriving means be equipped with to amplify conversion after digital signal signal amplifying apparatus.
5. one kind according to claim 4, which has, carries transformer multiple faults analysis system, it is characterised in that: the signal amplification
The Noise Suppression Device to identify external acoustic waves and electromagnetic noise and be inhibited is equipped between device and feature deriving means.
6. one kind according to claim 5, which has, carries transformer multiple faults analysis system, it is characterised in that: the noise suppressed
The signal demodulator device to separate the component of different frequency sections in useful signal is equipped between device and feature deriving means.
7. one kind according to claim 1, which has, carries transformer multiple faults analysis system, it is characterised in that: the signal analysis
Module includes Time-Series analysis module, entropy spectral analysis module, frequency-domain analysis module, periodic waveform comparison module, lateral waveform comparison
Module and spectrum library analysis module.
8. one kind according to claim 1, which has, carries transformer multiple faults analysis system, it is characterised in that: the display module
Including the industrial display to show analysis result and the industrial key mouse to control industrial display operation.
9. one kind according to claim 1, which has, carries transformer multiple faults analysis system, it is characterised in that: the power management
Module includes the portable battery to provide electric energy for analysis system and the electric power controller to manage battery.
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CN201820968113.4U CN208477036U (en) | 2018-06-22 | 2018-06-22 | One kind, which has, carries transformer multiple faults analysis system |
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CN201820968113.4U CN208477036U (en) | 2018-06-22 | 2018-06-22 | One kind, which has, carries transformer multiple faults analysis system |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110864801A (en) * | 2019-10-30 | 2020-03-06 | 国网福建省电力有限公司检修分公司 | Transformer noise and vibration on-line monitoring and fault analysis system |
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2018
- 2018-06-22 CN CN201820968113.4U patent/CN208477036U/en active Active
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110864801A (en) * | 2019-10-30 | 2020-03-06 | 国网福建省电力有限公司检修分公司 | Transformer noise and vibration on-line monitoring and fault analysis system |
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