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Transformer substation equipment sound fault detection and positioning method based on deep learning

A fault detection and deep learning technology, applied in neural learning methods, integrated learning, instruments, etc., can solve the problems of low detection efficiency, poor algorithm robustness, etc., to achieve low fault missed detection rate, high algorithm detection accuracy, operation Simple and efficient results

Pending Publication Date: 2021-01-05
DATONG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
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Problems solved by technology

[0004] The purpose of this application is to overcome the problems of low detection efficiency and poor algorithm robustness in the existing substation equipment sound fault detection technology

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  • Transformer substation equipment sound fault detection and positioning method based on deep learning
  • Transformer substation equipment sound fault detection and positioning method based on deep learning
  • Transformer substation equipment sound fault detection and positioning method based on deep learning

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Embodiment Construction

[0028] In order to better understand the above-mentioned purpose, features and advantages of the present application, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0029] In the following description, a lot of specific details are set forth in order to fully understand the application, however, the application can also be implemented in other ways different from those described here, therefore, the protection scope of the application is not limited by the following disclosure Limitations of specific embodiments.

[0030] Such as figure 1 As shown, this embodiment provides a sound fault detection and location method for substation equipment based on deep learning. Based on convolutional neural network and improved long-ter...

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Abstract

The invention discloses a transformer substation equipment sound fault detection and positioning method based on deep learning, and the method comprises the steps: obtaining the sound data of transformer substation equipment, carrying out the data labeling of the sound data of the transformer substation equipment, and generating a sample data set; carrying out data enhancement on the sample data set by adopting an audio noise adding mode, and carrying out data preprocessing on substation equipment sound data in the enhanced sample data set to generate a multi-channel spectrogram sequence; forthe multi-channel spectrogram sequence, constructing a substation equipment sound fault detection model based on convolutional neural network coding and long-term and short-term memory network detection; and training the substation equipment sound fault detection model according to the sample data set to obtain a trained substation equipment sound fault detection model, and performing fault detection and positioning on the substation equipment sound. According to the technical scheme, the problems of low detection efficiency, poor algorithm robustness and the like in an existing substation equipment sound fault detection technology are solved.

Description

technical field [0001] The present application relates to the technical field of fault detection, in particular, to a method for detecting and locating sound faults of substation equipment based on deep learning. Background technique [0002] Substation is an important infrastructure of my country's power grid construction. There are many internal working equipment, and some power equipment will have breakdown and abnormal discharge. Abnormal sound is the most obvious sign of substation equipment failure, and the type and location of the fault can be quickly determined based on the sound. However, since each equipment in the substation has different sound pressure levels and frequency characteristics, the substation will form a reverberant sound field with multiple noise sources, which brings great difficulty to the fault detection and location of substation equipment based on sound. [0003] At present, the traditional sound fault detection methods of substation equipment ...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08G06N20/20
CPCG06N20/20G06N3/049G06N3/084G06N3/048G06N3/045G06F18/214
Inventor 何若太赵培峰赵国伟张政王强樊兴超
Owner DATONG POWER SUPPLY COMPANY OF STATE GRID SHANXI ELECTRIC POWER
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