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Fault Diagnosis Method Based on Hidden Markov Model

  • Wei Zhang
Chapter

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.

Keywords

Hide Markov Model Fault Diagnosis Viterbi Algorithm Forward Algorithm Hide Markov Model Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg and National Defense Industry Press 2016

Authors and Affiliations

  • Wei Zhang
    • 1
  1. 1.Xi’an Research Institute of High-TechXi’anChina

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