Vol. 1 No. 3 (2022)

View Vol. 1 No. 3 (2022)

Special Issue on the Application of Machine Learning and Artificial Intelligence in Fault Diagnostics

Guest Editors:

Konstantinos Gryllias, KU Leuven, Belgium
Tianyang Wang, Tsinghua Univeristy, China
Haidong Shao, Hunan University, China

Pages: 125-187

Published: 2022-09-27

Editorial

Special Issue on the Application of Machine Learning and Artificial Intelligence in Fault Diagnostics

Konstantinos Gryllias, Tianyang Wang, Haidong Shao

125-126
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Special Issue( Machine Learning and AI in Fault Diagnostics)

An Intelligent Process Fault Diagnosis System based on Andrews Plot and Convolutional Neural Network

Shengkai Wang, Jie Zhang

127-138
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Online Unbalance Detection and Diagnosis on Large Flexible Rotors by SVR and ANN trained by Dynamic Multibody Simulations

Oscar García Peyrano, Juan Vignolo, Rodrigo Mayer, Matias Marticorena

139-147
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Long-range Dependencies Learning Based on Non-Local 1D-Convolutional Neural Network for Rolling Bearing Fault Diagnosis

Huan Wang, Zhiliang Liu, Ting Ai

148-159
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Bearings Intelligent Fault Diagnosis by 1-D Adder Neural Networks

Jian Tang, Chao Wei, Quanchang Li, Yinjun Wang, Xiaoxi Ding, Wenbin Huang

160-168
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Intelligent Identification of Rotating Stall for Centrifugal Compressor based on Pressure Pulsation Signals and SDKAE Network

Hongkun LI, Jiayu Ou, Xinwei Zhao, Hongwei Cao, Daitong Wei

169-175
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Industry 4.0 Application in Manufacturing for Real-Time Monitoring and Control

Debasish Mishra, Ashok Priyadarshi, Sarthak M Das, Sristi Shree, Abhinav Gupta, Surjya K Pal, Debashish Chakravarty

176-187
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