An Experimental Setup to Detect the Crack Fault of Asymmetric Rotors Based on a Deep Learning Method

Crack is a common fault of rotor systems. The research on crack fault detection methods is mainly divided into numerical and experimental studies. In numerical research, the current fault detection algorithms based on deep learning are mostly applied to bearings and gearboxes, and there are few stud...

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Bibliographic Details
Main Authors: Chongyu Wang, Zhaoli Zheng, Ding Guo, Tianyuan Liu, Yonghui Xie, Di Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/3/1327