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Artificial intelligence for fault diagnosis of rotating machinery: A review
Mechanical Systems and Signal Processing, 2018Fault diagnosis of rotating machinery plays a significant role for the reliability and safety of modern industrial systems. As an emerging field in industrial applications and an effective solution for fault recognition, artificial intelligence (AI ...
Ruonan Liu, Xuefeng Chen, Boyuan Yang
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Fault detection and diagnosis of rotating machinery
IEEE Transactions on Industrial Electronics, 2000A model-based approach to the detection and diagnosis of mechanical faults in rotating machinery is studied in this paper. For certain types of faults, for example, raceway faults in rolling element bearings, an increase in mass unbalance, and changes in stiffness and damping, algorithms suitable for real-time implementation are developed and evaluated
K A Loparo
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A generalized fault diagnosis framework for rotating machinery based on phase entropy
Reliability Engineering and System SafetyLigang Yao, Fulei Chu, Zhenya Wang
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Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Engineering Applications of Artificial IntelligenceYong Zhu +2 more
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Vibration protection for rotating machinery
Electrical Engineering, 1944Vibration protection becomes desirable for rotating machinery when it is operated with certain defects. Electric generators may be operated with a single ``ground'' on the rotating field circuit without harm but the potential hazards of a second ``ground'' at another point on the same circuit are so great that the need of protective equipment for ...
R. L. Webb, C. S. Murray
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Fault Diagnostics of Rotating Machinery
2011 21st International Conference on Systems Engineering, 2011This research extends the concept of [Lehrasab, 1999] to the domain of rotating machines. It aims at developing novel fault diagnostics techniques for the motor or rotating machines for diagnostics that is costeffective and easier to deploy from industrial perspective.
Z. Mahmood, N. S. Khattak
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IEEE Transactions on Industrial Informatics, 2023
End-to-end intelligent diagnosis of rotating machinery under speed fluctuation and limited samples is challenging in industrial practice. The existing limited samples methods usually focus on the data distribution or learning strategy with particularity.
Haidong Shao +5 more
semanticscholar +1 more source
End-to-end intelligent diagnosis of rotating machinery under speed fluctuation and limited samples is challenging in industrial practice. The existing limited samples methods usually focus on the data distribution or learning strategy with particularity.
Haidong Shao +5 more
semanticscholar +1 more source
Feature Mode Decomposition: New Decomposition Theory for Rotating Machinery Fault Diagnosis
IEEE transactions on industrial electronics (1982. Print), 2023In this article, a new decomposition theory, feature mode decomposition (FMD), is tailored for the feature extraction of machinery fault. The proposed FMD is essentially for the purpose of decomposing the different modes by the designed adaptive finite ...
Yonghao Miao +4 more
semanticscholar +1 more source
IEEE Transactions on Instrumentation and Measurement
Facilitated by artificial intelligence (AI) technologies such as deep learning (DL), predictive maintenance (PdM) has emerged as the most cost-effective maintenance approach for significantly enhancing the safety and availability of industrial equipment.
Jianghong Zhou +3 more
semanticscholar +1 more source
Facilitated by artificial intelligence (AI) technologies such as deep learning (DL), predictive maintenance (PdM) has emerged as the most cost-effective maintenance approach for significantly enhancing the safety and availability of industrial equipment.
Jianghong Zhou +3 more
semanticscholar +1 more source