Voiceprint image feature-based transformer state recognition method, voiceprint image feature-based transformer state recognition systems and medium

An image feature and state recognition technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of easy omission of features, insufficient judgment experience, and low accuracy in acoustic diagnostic systems, and achieves improvement in human judgment. The effect of high diagnostic accuracy and fast diagnostic speed
CN110634493AInactive Publication Date: 2019-12-31STATE GRID HUNAN ELECTRIC POWER +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
STATE GRID HUNAN ELECTRIC POWER
Publication Date
2019-12-31
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a voiceprint image feature-based transformer state recognition method, voiceprint image feature-based transformer state recognition systems and a medium. The recognition methodcomprises the following steps of: generating voiceprint feature images according to sound signals, extracting voiceprint image feature information from the voiceprint feature images, and comparing the voiceprint image feature information with a preset transformer state feature recognition library or inputting the voiceprint image feature information into a pre-trained artificial intelligence machine learning model to recognize the noise-related state of a target transformer. According to the invention, the voiceprint image features can be used to recognize the noise-related abnormal operationstate of the transformer, the problems of insufficient human judgment experience and large errors and the problems of easy omission of the features and low accuracy caused by an existing acoustic diagnostic system can be significantly improved, diagnostic accuracy of the noise-related transformer operation state can be greatly improved, diagnostic accuracy is high and diagnostic speed is fast.
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Description

technical field

[0001] The invention relates to the technical field of power transformer operation state evaluation, in particular to a transformer state recognition method, system and medium based on voiceprint image features, which can identify noise-related abnormal operation states of transformers by using voiceprint image features. Background technique

[0002] Power transformer failure is the key cause of large-scale power outages in power systems. More than 30% of the typical fault defects of the transformer (such as: overexcitation, three-phase unbalanced load, harmonic load, cooling system defect, DC bias, loose winding and core, loose accessories, overload, etc.) can be detected by noise. Existing fault detection methods related to transformer noise mainly rely on operating personnel to use human ears to judge the type of fault based on experience, or use the waveform and frequency spectrum of the sound signal to extract a certain number of sound features as the ba...

Claims

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