Digital twin-assisted intelligent fault diagnosis for bearings

已完结 10 由 mm 发布于 2026/10/12 9:20:24

DOI:10.1088/1361-6501/ad5f4c
作者：Siqi Gong, Shunming Li, Yongchao Zhang, Lifang Zhou, Min Xia
文献类型：期刊论文
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IOPscience

Abstract： Data-driven intelligent fault diagnosis methods generally require a large amount of labelled data and considerable time to train network models. However, obtaining sufficient labelled data

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