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Published in 2019 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-019-0103-x
Abstract: This paper proposes the expert system for accurate fault detection of bearing. The study is based upon advanced signal processing method as wavelet transform and artificial intelligence technique as artificial neural network (ANN) and K-nearest…
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Keywords:
neural network;
artificial neural;
diagnosis rolling;
fault diagnosis ... See more keywords
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Published in 2018 at "ISA transactions"
DOI: 10.1016/j.isatra.2018.04.005
Abstract: As the rolling bearings being the key part of rotary machine, its healthy condition is quite important for safety production. Fault diagnosis of rolling bearing has been research focus for the sake of improving the…
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Keywords:
diagnosis;
diagnosis rolling;
fault diagnosis;
recurrent neural ... See more keywords
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Published in 2024 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ad4eff
Abstract: Rolling bearings are critical components that are prone to faults in the operation of rotating equipment. Therefore, it is of utmost importance to accurately diagnose the state of rolling bearings. This review comprehensively discusses classical…
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Keywords:
vibration signal;
based vibration;
fault diagnosis;
fault ... See more keywords
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Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ae1316
Abstract: Intelligent fault diagnosis of rolling bearings under data imbalance remains a critical challenge in industrial environments. A lightweight physical information diffusion model (LPIDM) is proposed to address the scarcity and imbalanced distribution of fault samples.…
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Keywords:
rolling bearings;
model;
fault diagnosis;
fault ... See more keywords