Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS

Bearing vibration signals typically have nonlinear components due to their interaction and coupling effects, friction, damping, and nonlinear stiffness. Bearing faults affect the signal complexity at various scales. Hence, measuring signal complexity at different scales is helpful to diagnosis of be...

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Bibliographic Details
Main Authors: Mostafa Rostaghi, Mohammad Mahdi Khatibi, Mohammad Reza Ashory, Hamed Azami
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Entropy
Subjects:
dispersion entropy
fault diagnosis
refined composite generalized multiscale dispersion entropy (RCGMDispEn)
bearing
multiclass FCM-ANFIS
Online Access:https://www.mdpi.com/1099-4300/23/11/1510

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