2024
DOI: 10.1088/1361-6501/ad8cf6
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Machine learning based mechanical fault diagnosis and detection methods: a systematic review

Yuechuan Xin,
Jianuo Zhu,
Mingyang Cai
et al.

Abstract: Mechanical fault diagnosis and detection are crucial for enhancing equipment reliability, economic efficiency, production safety, and energy conservation. In the era of Industry 4.0, artificial intelligence (AI) has emerged as a significant tool for mechanical fault diagnosis and detection, attracting considerable attention from both academia and industry. This review focuses on the application of AI techniques in mechanical fault diagnosis and detection using artificial intelligence techniques based on the ex… Show more

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