Application of improved bubble entropy and machine learning in the adaptive diagnosis of rotating machinery faults

Application of improved bubble entropy and machine learning in the adaptive diagnosis of rotating machinery faults

This paper proposes an improved bubble entropy algorithm called Improved Hierarchical Refined Composite Multiscale Multichannel Bubble Entropy (IHRCMMCBE) to characterize the fault characteristics of rotating machinery. By introducing the refined composite multiscale analysis algorithm, the improved...

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Bibliographic Details
Main Authors: Jiancheng Gong, Xiaoqiang Yang, Kun Qian, Zhaoyi Chen, Tao Han
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Alexandria Engineering Journal
Subjects:
Bubble entropy
Rotating machinery fault diagnosis
Machine learning
Multi-cluster feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823006804

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http://www.sciencedirect.com/science/article/pii/S1110016823006804

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