Power equipment partial discharge identification method, system and equipment and storage medium
A technology for partial discharge and power equipment, applied in the field of signal identification, can solve the problems of partial discharge signal annihilation, low work efficiency and convergence accuracy, and achieve the effect of avoiding signal loss
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0079] A method for identifying partial discharge of power equipment, such as figure 2 shown, including:
[0080] I: Use broadband high-speed sampling to collect sampling data of power equipment within a certain period of time;
[0081] II: converting the sampling data into a PRPD spectrum, and performing feature extraction and classification on the PRPD spectrum;
[0082] III: Bring the signal features extracted from the PRPD spectrogram of each type into the pre-trained partial discharge identification model corresponding to the type, and obtain whether there is a partial discharge in the electric equipment within the certain period of time and whether it belongs to type of partial discharge;
[0083] Wherein, the trained partial discharge identification model is obtained by training the statistical features extracted from each type of PRPD spectrogram and the type of discharge to which the statistical features belong, using a neural network.
[0084] The training of the...
Embodiment 2
[0144] The present application also provides a partial discharge identification system for power equipment, including:
[0145] The data acquisition module is used to collect the sampling data of the power equipment within a certain period of time by means of broadband high-speed sampling;
[0146] Separation and classification module for converting the sampling data into PRPD spectrograms, and performing signal feature extraction and classification on the PRPD spectrograms;
[0147] The partial discharge identification module is used to bring the statistical features in the signal features extracted from the PRPD spectrogram of each type into the pre-trained partial discharge identification model corresponding to the type, and obtain the power equipment in the Whether there is partial discharge within a certain period of time and the type of partial discharge it belongs to;
[0148] Wherein, the partial discharge identification model is obtained by training the statistical f...
PUM

Abstract
Description
Claims
Application Information

- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com