Hidden Markov improved algorithm-based stability control system reliability evaluation method
The invention discloses a stability control system reliability evaluation method based on a hidden Markov improved algorithm, and the method comprises the steps: analyzing different fault modes and corresponding fault consequences of core elements of all units in a stability control system, carrying...
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Format: | Patent |
Sprache: | chi ; eng |
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Zusammenfassung: | The invention discloses a stability control system reliability evaluation method based on a hidden Markov improved algorithm, and the method comprises the steps: analyzing different fault modes and corresponding fault consequences of core elements of all units in a stability control system, carrying out the simplified classification of the states of the stability control system, and obtaining a multi-state model of the stability control system; establishing a hidden Markov model of the stability control system according to the multi-state model of the stability control system; model parameters of the hidden Markov model are updated through an FB-BW improved algorithm; according to the updated model parameters of the hidden Markov model, the probability that the stability control system is in different states is calculated so as to predict the state of the stability control system; a fuzzy comprehensive evaluation method is adopted, a fuzzy evaluation matrix and a fuzzy comprehensive evaluation vector are cons |
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