Mechanical Fault Diagnosis of High Voltage Circuit Breakers with Unknown Fault Type Using Hybrid Classifier Based on LMD and Time Segmentation Energy Entropy
In order to improve the identification accuracy of the high voltage circuit breakers’ (HVCBs) mechanical fault types without training samples, a novel mechanical fault diagnosis method of HVCBs using a hybrid classifier constructed with Support Vector Data Description (SVDD) and fuzzy c-means (FCM)...
Main Authors: | Nantian Huang, Lihua Fang, Guowei Cai, Dianguo Xu, Huaijin Chen, Yonghui Nie |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-09-01
|
Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/18/9/322 |
Similar Items
-
Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Variational Mode Decomposition and Multi-Layer Classifier
by: Nantian Huang, et al.
Published: (2016-11-01) -
Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Wavelet Time-Frequency Entropy and One-Class Support Vector Machine
by: Nantian Huang, et al.
Published: (2015-12-01) -
Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy
by: Xu Le, et al.
Published: (2022-01-01) -
Fault Feature Extraction for Rolling Bearing based on LMD Energy Entropy
by: Xu Le, et al.
Published: (2019-01-01) -
Fault Diagnosis of Bearing based on SVD-LMD Fuzzy Entropy and PNN
by: Liu Le, et al.
Published: (2017-01-01)