Abstract As a statistical model of time series, the hidden Markov model (HMM) is suitable for the dynamic time series analysis, especially for the signal with a large amount of information and nonstationary and low reproducibility. It is a dynamic pattern recognition tool, which could gather statistic models, classify the information of a time span, and expand the fault diagnosis method which is only based on the static observation.
Fault Diagnosis Method Based on Hidden Markov Model
01.01.2016
27 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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