An Explainable AI-Based Fault Diagnosis Model for Bearings.

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作者： Md Junayed,Hasan ^[1] ; Muhammad,Sohaib ^[2] ; Jong-Myon,Kim ^[1]

作者单位： Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Ulsan 44610, Korea. ^[1] Department of Computer Science, Lahore Garrison University, Lahore 54000, Pakistan. ^[2]

关键词 Boruta SHAP Stockwell transform bearing condition-based monitoring explainable AI fault diagnosis model interpretability

主题词算法(Algorithms);人工智能(Artificial Intelligence);设备失效分析(Equipment Failure Analysis);振动(Vibration)

DOI 10.3390/s21124070

PMID 34199163

发布时间 2024-04-02

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Sensors (Basel, Switzerland)

2021年21卷12期

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An Explainable AI-Based Fault Diagnosis Model for Bearings.

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An Explainable AI-Based Fault Diagnosis Model for Bearings.

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