Transformer fault analysis system based on acoustic shock detection

A transformer failure and analysis system technology, applied in the direction of measuring electrical variables, measuring ultrasonic/sonic/infrasonic waves, instruments, etc., can solve the problems of incomplete reflection of transformer status and unreasonable evaluation methods of status monitoring

Inactive Publication Date: 2018-03-02
STATE GRID CHONGQING ELECTRIC POWER
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Patent No. 201611178523.0 discloses a transformer state analysis and fault diagnosis method and system, which is used to solve the problem that the online monitoring of transformers in the prior art is isolated one-dimension

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  • Transformer fault analysis system based on acoustic shock detection
  • Transformer fault analysis system based on acoustic shock detection
  • Transformer fault analysis system based on acoustic shock detection

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Experimental program
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Embodiment 1

[0035] Such as Figure 1 to Figure 9As shown, the transformer fault analysis system based on acoustic vibration detection includes an interconnected data acquisition system and data analysis system. The data acquisition system includes an acoustic data acquisition module and a transformer parameter acquisition module. The acoustic data acquisition module includes a sound intensity sensor and a vibration sensor. and the sound sensor, the data analysis system includes a clock system and a signal feature extraction and classification module and a signal identification fault diagnosis module respectively connected with the clock system; the signal feature extraction and classification module includes a feature extraction module and a feature database, and the feature extraction module is connected to the data acquisition system, The signal recognition fault diagnosis module runs on the microcomputer system.

[0036] Vibration sensors include acceleration vibration sensors and lase...

Embodiment 2

[0072] Transformer fault analysis system based on acoustic vibration detection, including interconnected data acquisition system and data analysis system, data acquisition system includes acoustic data acquisition module and transformer parameter acquisition module, acoustic data acquisition module includes sound intensity sensor, vibration sensor and sound sensor , the data analysis system includes a clock system and a signal feature extraction and classification module and a signal recognition fault diagnosis module respectively connected to the clock system; the signal feature extraction and classification module includes a feature extraction module and a feature database, and the feature extraction module is connected to the data acquisition system to identify faults in the signal The diagnostic module runs on the microcomputer system. Vibration sensors include acceleration vibration sensors and laser vibrometers. The sound sensor includes a microphone array connected to a...

Embodiment 3

[0075] Transformer fault analysis system based on acoustic vibration detection, including interconnected data acquisition system and data analysis system, data acquisition system includes acoustic data acquisition module and transformer parameter acquisition module, acoustic data acquisition module includes sound intensity sensor, vibration sensor and sound sensor , the data analysis system includes a clock system and a signal feature extraction and classification module and a signal recognition fault diagnosis module respectively connected to the clock system; the signal feature extraction and classification module includes a feature extraction module and a feature database, and the feature extraction module is connected to the data acquisition system to identify faults in the signal The diagnostic module runs on the microcomputer system. Vibration sensors include acceleration vibration sensors and laser vibrometers. The sound sensor includes a microphone array connected to a...

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Abstract

The invention discloses a transformer fault analysis system based on acoustic shock detection. The transformer fault analysis system comprises a data acquisition system and a data analysis system which are mutually connected, and is characterized in that the data acquisition system comprises an acoustic data acquisition module and a transformer parameter acquisition module, the acoustic data acquisition module comprises a sound intensity sensor, a vibration sensor and a sound sensor, the data analysis system comprises a clock system, a signal feature extraction and classification module and asignal recognition and fault diagnosis module, and the signal feature extraction and classification module and the signal recognition and fault diagnosis module are connected with the clock system; and the signal feature extraction and classification module comprises a feature extraction module and a feature database, the feature extraction module is connected with the data acquisition system, andthe signal recognition and fault diagnosis module operates on a microcomputer system. The transformer fault analysis system represents an automatic recognition and identification technology for the operating state of a transformer through acquiring acoustic signals of the transformer and performing state recognition and marking on the acoustic signals, and finally achieves fault analysis and diagnosis for the transformer.

Description

technical field [0001] The invention relates to the technical field of a transformer fault detection and analysis method, in particular to a transformer fault analysis system based on acoustic wave oscillation detection. Background technique [0002] During the operation of the transformer, mechanical deformation is generated under the joint action of internal current, magnetic field and other factors, and the signal is transmitted through its own structure, and this signal is transmitted through the surrounding air medium, generating the sound signal of the transformer's operation. These signals can reflect the operating condition of the transformer. Experienced technicians can often judge the operation status of the transformer by listening to the internal sound of the transformer through an industrial stethoscope, find faults and even roughly locate the fault. This widely used diagnostic modality relies heavily on the competent judgment and personal experience of the tec...

Claims

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Application Information

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IPC IPC(8): G01R31/06G01H17/00
CPCG01H17/00G01R31/72
Inventor 陈定科毛长斌徐溦罗勇覃彬
Owner STATE GRID CHONGQING ELECTRIC POWER
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