Intelligent Diagnosis Based on Double-Optimized Artificial Hydrocarbon Networks for Mechanical Faults of In-Wheel Motor

Intelligent Diagnosis Based on Double-Optimized Artificial Hydrocarbon Networks for Mechanical Faults of In-Wheel Motor

To avoid the potential safety hazards of electric vehicles caused by the mechanical fault deterioration of the in-wheel motor (IWM), this paper proposes an intelligent diagnosis based on double-optimized artificial hydrocarbon networks (AHNs) to identify the mechanical faults of IWM, which employs a...

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Bibliographic Details
Main Authors: Hongtao Xue, Ziwei Song, Meng Wu, Ning Sun, Huaqing Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Sensors
Subjects:
intelligent diagnosis
in-wheel motor
artificial hydrocarbon networks
K-means clustering
AdaBoost algorithm
Online Access:https://www.mdpi.com/1424-8220/22/16/6316

Internet

https://www.mdpi.com/1424-8220/22/16/6316

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