Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network

Ye, Chenglong; Wang, Jinxi; Peng, Chang; Ju, Zengye; Geng, Xiangyi; Zhang, Lei; Sui, Qingmei; Jiang, Mingshun; Zhang, Faye

doi:10.1016/j.measurement.2023.113677

Measurement

2023

DOI: 10.1016/j.measurement.2023.113677

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Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network

Chenglong Ye,

Jinxi Wang,

Chang Peng

et al.

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Cited by 6 publications

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Novel cross-domain fault diagnosis method based on model-agnostic meta-learning embedded in adaptive threshold network

Cited by 6 publications

References 31 publications

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain

An uncertainty perception metric network for machinery fault diagnosis under limited noisy source domain and scarce noisy unknown domain

A task-oriented theil index-based meta-learning network with gradient calibration strategy for rotating machinery fault diagnosis with limited samples

Adaptive model-agnostic meta-learning network for cross-machine fault diagnosis with limited samples

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