Review on deep learning classifiers for faults diagnosis of rotating industrial machinery
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11761-024-00418-7.pdf
Reference160 articles.
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4. Dai J, Wang J, Huang W, Shi J, Zhu Z (2020) Machinery Health Monitoring based on unsupervised feature learning via Generative Adversarial Networks. IEEE/ASME Trans Mechatronics. https://doi.org/10.1109/TMECH.2020.3012179
5. Lei Y, Xu X, Cai X, Li N, Kong D, Zhang Y (2021) Research on Data Quality Assurance for Health Condition Monitoring of Machinery. Jixie Gongcheng Xuebao/Journal Mech Eng. https://doi.org/10.3901/JME.2021.04.001
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