A domain adaptation network with feature scale preservation for remaining useful life prediction of rolling bearings under variable operating conditions
Daoming She,
Hu Wang,
Hongfei Zhang
et al.
Abstract:Transfer learning (TL) and domain adaptation (DA) methods have been utilized in bearing prognostic and health management (PHM), but most of the current domain adaptation methods do not take into account the feature scale change of degraded features when aligning the feature distribution, and these methods are more suitable for the classification problem, which is more robust to the feature scale change. However, they perform poorly in regression problems. In addition, most of the remaining useful life (RUL) pr… Show more
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