Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine

Rotating Machinery Fault Diagnosis Based on Improved Multiscale Amplitude-Aware Permutation Entropy and Multiclass Relevance Vector Machine

The health state of rotating machinery directly affects the overall performance of the mechanical system. The monitoring of the operation condition is very important to reduce the downtime and improve the production efficiency. This paper presents a novel rotating machinery fault diagnosis method ba...

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Bibliographic Details
Main Authors: Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, Zhongming Luo, Haijun Lin
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
rotating machinery
fault diagnosis
fault severity
intrinsic time-scale decomposition
amplitude-aware permutation entropy
multiclass relevance vector machine
Online Access:https://www.mdpi.com/1424-8220/19/20/4542

Internet

https://www.mdpi.com/1424-8220/19/20/4542

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