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Recently, condition monitoring of machinery has become global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. In this paper, a novel fault detection method based on relevance vector machine (RVM) is proposed for gear condition monitoring. Empirical results demonstrated that, using similar training time, the RVM...
The efficiency of data processing is critical for the on-line monitoring applications of industrial components and systems, both from the viewpoints of the rapid adaptation to the non-stationary signals and the cost of information storage and transmission. In this paper, we propose an enhanced feature extraction model for machinery performance assessment, which is based on the lifting-based wavelet...
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