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Published in 2019 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2018.06.032
Abstract: Abstract Condition-based monitoring and machine fault detection play important roles in industry as they can ensure safety and reduce breakdown loss. Weak signal detection is an essential stage in many signal processing-based machine fault detection…
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Keywords:
rotating machine;
machine fault;
fault detection;
machine ... See more keywords
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Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3053075
Abstract: Recently, various deep learning models, which are mainly based on data-driven algorithms, have received more and more attention in the field of intelligent fault diagnosis and prognostics. However, there are two major assumptions accepted by…
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Keywords:
diagnosis;
machine fault;
cross machine;
transfer ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2022.3229344
Abstract: To alleviate the predicament of data annotating and the need for collecting data from identical distribution, unsupervised domain adaptation technologies have been widely deployed in the field of machine fault diagnosis. Nevertheless, most of them…
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Keywords:
fault diagnosis;
adaptation;
self training;
adversarial adaptation ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3206764
Abstract: Compared with a wired machine fault diagnosis system, a wireless one based on wireless sensor networks (WSNs) has many inherent merits, such as low cost and ease of installation. However, the limited bandwidth and battery…
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Keywords:
diagnosis;
fault diagnosis;
machine fault;
method ... See more keywords
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Published in 2020 at "IEEE/ASME Transactions on Mechatronics"
DOI: 10.1109/tmech.2020.2993336
Abstract: Physical parameter sensing largely benefits the lifetime and operational costs of machines and has been widely used for machine fault detection. Herein, in this article, we developed a multinode sensor network, which is fully self-powered…
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Keywords:
machine fault;
fault detection;
machine;
self powered ... See more keywords