Vol. 4 No. 3 (2025)

View Vol. 4 No. 3 (2025)

Special Issue on Iterpretable/Explainable Intelligent Fault Diagnostics with Applications

Guest Editors:

Dong Wang, Shanghai Jiao Tong University, China

Zhibin Zhao, Xi'an Jiaotong University, China

Pages：148-202

Published: 2025-09-30

Special Issue on Interpretable/Explainable Intelligent Fault Diagnostics with Application

Comparison of Different ANFIS Models for the Condition Monitoring of a Rack and Pinion Contact Using Methods of Explainable Artificial Intelligence

Tobias Biermann, Jonathan Millitzer, Karsten Schmidt
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Towards Fault Diagnosis Interpretability: Gradient Boosting Framework for Vibration-Based Detection of Experimental Gear Failures

Auday Shaker Hadi, Luttfi Al-Haddad
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Robust Anomaly Detection of Rotating Machinery with Contaminated Data

Jingcheng Wen, Jiaxin Ren, Zhibin Zhao, Xuefeng Chen

170-182
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An Interpretable Wavelet Kolmogorov–Arnold Convolutional LSTM for Spatial-temporal Feature Extraction and Intelligent Fault Diagnosis

Junfan Chen, Tianfu Li, Jiang He, Tao Liu

183-193
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Investigations on Multiclass Classification Model-Based Optimized Weights Spectrum for Rotating Machinery Condition Monitoring

Bingchang Hou, Yu Wang, Dong Wang
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Interpretable Fault Diagnosis for Liquid Rocket Engines via Component-Wise MLP-Based Granger Causality Feature Extraction

Longfei Zhang, Zhi Zhai, Chenxi Wang, Meng Ma, Jinxin Liu, Chunmin Wang

203-212
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