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...
Main Authors: | Yinsheng Chen, Tinghao Zhang, Wenjie Zhao, Zhongming Luo, Haijun Lin |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-10-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/20/4542 |
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