Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers

Particle Swarm Optimization-Support Vector Machine Model for Machinery Fault Diagnoses in High-Voltage Circuit Breakers

Abstract According to statistic data, machinery faults contribute to largest proportion of High-voltage circuit breaker failures, and traditional maintenance methods exist some disadvantages for that issue. Therefore, based on the wavelet packet decomposition approach and support vector machines, a...

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Bibliographic Details
Main Authors: Xiaofeng Li, Shijing Wu, Xiaoyong Li, Hao Yuan, Deng Zhao
Format: Article
Language:English
Published: SpringerOpen 2020-02-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
High-voltage circuit breaker
Machinery fault diagnosis
Wavelet packet decomposition
Support vector machine
Online Access:https://doi.org/10.1186/s10033-019-0428-5

Internet

https://doi.org/10.1186/s10033-019-0428-5

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