A New Fault Diagnosis Classifier for Rolling Bearing United Multi-Scale Permutation Entropy Optimize VMD and Cuckoo Search SVM

A New Fault Diagnosis Classifier for Rolling Bearing United Multi-Scale Permutation Entropy Optimize VMD and Cuckoo Search SVM

Aiming at the influence of mixed noise of bearing vibration signal on the extraction of useful information, a fault diagnosis optimize classifier based on multi-scale permutation entropy (MPE) and cuckoo search algorithm (CS) is proposed. Firstly, the MPE threshold method is adopted to select the ap...

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Bibliographic Details
Main Authors: Zijian Guo, Mingliang Liu, Yunxia Wang, Huabin Qin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Variational mode decomposition
multi-scale permutation entropy
signal reconstruction
cuckoo algorithm
support vector machine
Online Access:https://ieeexplore.ieee.org/document/9172050/

Internet

https://ieeexplore.ieee.org/document/9172050/

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