A new bearing fault diagnosis method based on fine-to-coarse multiscale permutation entropy, Laplacian score and SVM

Fault diagnosis of rotating machinery is vital to identify incipient failures and avoid unexpected downtime in industrial systems. This paper proposes a new rolling bearing fault diagnosis method by integrating the fine-to-coarse multiscale permutation entropy (F2CMPE), Laplacian score (LS) and supp...

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Bibliographic Details
Main Authors: Zhiqiang Huo, Eve Zhang, Lei Shu, Michael Gallimore
Format: Default Article
Published: 2019
Subjects:
fault detection and diagnosis
fine-to-coarse multiscale permutation entropy
Laplacian score
support vector machine
Online Access:https://hdl.handle.net/2134/15073623.v1
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https://hdl.handle.net/2134/15073623.v1

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