An Unsupervised Machine Learning Approach for Monitoring Data Fusion and Health Indicator Construction
Lin Huang,
Xin Pan,
Yajie Liu
et al.
Abstract:The prediction of system degradation is very important as it serves as an important basis for the formulation of condition-based maintenance strategies. An effective health indicator (HI) plays a key role in the prediction of system degradation as it enables vital information for critical tasks ranging from fault diagnosis to remaining useful life prediction. To address this issue, a method for monitoring data fusion and health indicator construction based on an autoencoder (AE) and a long short-term memory (L… Show more
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