Research on Circuit Breaker Operating Mechanism Fault Diagnosis Method Combining Global-Local Feature Extraction and KELM
In response to the lack of generality in feature extraction using modal decomposition methods and the susceptibility of diagnostic performance to parameter selection in traditional mechanical fault diagnosis of high-voltage circuit breaker operating mechanisms, this paper proposes a Global-Local fea...
Main Authors: | Qinzhe Liu, Xiaolong Wang, Zhaojing Guo, Jian Li, Wei Xu, Xiaowen Dai, Chenlei Liu, Tong Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/24/1/124 |
Similar Items
-
A Mechanical Defect Localization and Identification Method for High-Voltage Circuit Breakers Based on the Segmentation of Vibration Signals and Extraction of Chaotic Features
by: Shi Cao, et al.
Published: (2023-08-01) -
Gray level co-occurrence matrix and extreme learning machine for Covid-19 diagnosis
by: Pengpeng Pi, et al.
Published: (2021-06-01) -
Gray level co-occurrence matrix and extreme learning machine for Alzheimer's disease diagnosis
by: Shuangshuang Gao
Published: (2021-06-01) -
Prototype development of permanent fault indicator for miniature circuit breaker /
by: Mohamad Nasharuddin Mohamad Rosli, 1994- , author, et al.
Published: (2017) -
Prototype development of permanent fault indicator for miniature circuit breaker /
by: Mohamad Nasharuddin Mohamad Rosli, 1994- , author
Published: (2017)