Transformer abnormal state detection method based on multi-measuring-point vibration signals

A technology of vibration signal and detection method, which is applied in the direction of testing of instruments, measuring devices, and mechanical components, etc., can solve the problems of difficult realization, high parameter requirements, and difficulty in fully reflecting the health status of transformers, etc., and the method is simple, feasible, and detection fast and accurate results

CN110458248AActive Publication Date: 2019-11-15NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-11-15

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Abstract

The invention discloses a transformer abnormal state detection method based on multi-measuring-point vibration signals. The method comprises the following steps: uniformly arranging a plurality of vibration sensors on the surface of a transformer oil tank, extracting a time domain feature vector of a vibration signal of each vibration sensor by adopting fast Fourier decomposition, classifying feature vectors of each vibration sensor in different time periods by adopting a k-means clustering algorithm, and finally obtaining k clustering centers and corresponding fluctuation ranges; determiningconfidence coefficient functions of the vibration signals of the vibration sensors in different states; and taking the operation state corresponding to the maximum value of the confidence function asa diagnosis result of the transformer state. According to the transformer abnormal state detection method based on the multi-measuring-point vibration signals, the vibration signals of the multiple measuring points on the surface of the oil tank can be comprehensively analyzed, and comprehensive evaluation of the running state of the transformer is achieved.
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Description

technical field

[0001] The invention relates to the technical field of transformer fault detection, in particular to a transformer abnormal state detection method based on vibration signals of multiple measuring points. Background technique

[0002] For transformer equipment operating on site, due to the complex operating environment and the influence of factors such as load changes, there may be various degrees of mechanical deformation faults in the core and windings inside the transformer after long-term operation. It is not sensitive to mechanical faults, but the vibration signal is very sensitive to mechanical deformation, which is suitable for the detection of mechanical deformation faults of transformers.

[0003] The vibration generated by the transformer winding and the iron core propagates to the surface of the oil tank through the two propagation paths of fasteners and insulating oil, and only the component perpendicular to the direction of the oil tank wall can b...

Examples

Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] The purpose of the present invention is to provide a transformer abnormal state detection method based on multi-measuring point vibration signals, and use the k-means clustering algorithm to comprehensively analyze the vibration signals of multiple measuring points on different surfaces of the fuel tank, so as to realize a comprehensive evaluation of the operating state of the transformer .

[0043] In order to make the above objects, features and advan...