A Novel Decentralized Weighted ReliefF-PCA Method for Fault Detection
The decentralized weighted ReliefF-PCA (DWRPCA) method is proposed to improve the performance of principal component analysis (PCA) for fault detection. The improved ReliefF-PCA algorithm is used to select the principal components instead of the traditional cumulative percent variance (CPV) criterio...
Main Authors: | Yinghua Yang, Xiangming Chen, Yue Zhang, Xiaozhi Liu |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8846019/ |
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