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Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01516-2
Abstract: Intelligent manufacturing poses a challenge for fault diagnosis of rotor systems to meet the three tasks: whether exists faults, faults location and quantitative diagnosis. Traditional methods hardly meet all the three tasks in online fault…
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Keywords:
rotor systems;
cart;
fault;
diagnosis ... See more keywords
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Published in 2025 at "Nature Communications"
DOI: 10.1038/s41467-025-56832-8
Abstract: For the intricate and infrequent safety issues of batteries, online safety fault diagnosis over stochastic working conditions is indispensable. In this work, we employ deep learning methods to develop an online fault diagnosis network for…
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Keywords:
deep learning;
diagnosis;
online fault;
fault diagnosis ... See more keywords
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Published in 2025 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2025.3573606
Abstract: This letter addresses the problem of online fault prognosis of discrete event systems modeled by bounded and unbounded-labeled Petri nets (LPNs). Fault prognosis, also known as fault prediction, has as its main goal to detect…
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Keywords:
online fault;
prognosis;
fault prognosis;
labeled petri ... See more keywords
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Published in 2020 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2019.2899565
Abstract: Battery safety is one of the most crucial issues in the utilization of lithium-ion batteries (LiBs) for all-climate electric vehicles. Short circuit, overcharge, and overheat are three common field failures of LiBs. In this paper,…
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Keywords:
esc;
battery;
short circuit;
online fault ... See more keywords