Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence

Fault Detection Based on Multi-Dimensional KDE and Jensen–Shannon Divergence

Weak fault signals, high coupling data, and unknown faults commonly exist in fault diagnosis systems, causing low detection and identification performance of fault diagnosis methods based on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"...

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Bibliographic Details
Main Authors: Juhui Wei, Zhangming He, Jiongqi Wang, Dayi Wang, Xuanying Zhou
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Entropy
Subjects:
fault detection
optimal bandwidth
kernel density estimation
JS divergence
bearing
Online Access:https://www.mdpi.com/1099-4300/23/3/266

Internet

https://www.mdpi.com/1099-4300/23/3/266

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