Detection and classification of bearing faults in industrial geared motors using temporal features and adaptive neuro-fuzzy inference system

Detection and classification of bearing faults in industrial geared motors using temporal features and adaptive neuro-fuzzy inference system

This paper concerns the automatic diagnosis of ball bearing defects in industrial geared motor based on statistical indicators and the Adaptive Neuro-Fuzzy Inference System (ANFIS). The approach consists of three essential steps: the first is the extraction of statistical indicators from the root me...

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Bibliographic Details
Main Authors: Choug Abdelkrim, Mohamed Salah Meridjet, Nadir Boutasseta, Lakhdar Boulanouar
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:Heliyon
Subjects:
Industrial engineering
Mechanical engineering
Fault diagnosis
Bearing faults
Geared motor
Adaptive neuro-fuzzy inference system (ANFIS)
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844019357068

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