A feature extraction method based on probabilistic Principal components analysis and sampling importance resampling for bearing fault detection

Abstract

The applications of monitoring the equipment online are often limited by the practical signal processing, limited by storage and transferring capacities. The efficiency is a key problem. Thus, a novel highly efficient feature extraction model for evaluating the equipment performance is proposed, which consists of the probabilistic Principal components… (More)
DOI: 10.1109/ICPHM.2017.7998301

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