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This paper introduces a novel method of investigating the frequency distributions of symbol sequences of discrete signals that have been generated from time series measurements of machine components. The approach is different from conventional spectral methods as the focus is on the time domain, and is therefore suited for monitoring systems that generate non-stationary measurements. A method of statistically...
The subject of machine condition monitoring is charged with developing new technologies to diagnose the machinery problems. A problem with diagnostic techniques is that they require constant human interpretation of the results. Fuzzy neural networks show good ability of self-adaption and self-learning, wavelet transformation or analysis shows the time frequency location characteristic and multi-scale...
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