A Mathematical Morphological Network Fault Diagnosis Method for Rolling Bearings Based on Acoustic Array Signal

A Mathematical Morphological Network Fault Diagnosis Method for Rolling Bearings Based on Acoustic Array Signal

To extract valuable characteristic information from the acoustic radiation signal of rolling bearings, a novel mathematical morphological network (MMNet) is proposed. First, a mathematical morphological network layer is constructed by leveraging the advantages of a multi-scale enhanced top-hat morph...

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Bibliographic Details
Main Authors: Yuanqing Luo, Yingyu Yang, Shuang Kang, Xueyong Tian, Xiaoqi Kang, Feng Sun
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Applied Sciences
Subjects:
fault diagnosis
rolling bearings
mathematical morphological
deep learning
Online Access:https://www.mdpi.com/2076-3417/13/23/12671

Internet

https://www.mdpi.com/2076-3417/13/23/12671

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