Dynamic multiple fault diagnosis based on HMM and QPSO

By analyzing the problems existed about dynamic multiple fault diagnosis (DMFD), a hidden Markov model (HMM) and a formal definition of DMFD are introduced to overcome the invalidation of static multiple fault diagnosis model in some situations. The optimal solution of the objective function is a tr...

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Bibliographische Detailangaben

Hauptverfasser:	Liu Xiaoqin, Huang Kaoli, Lian Guangyao, Yang Hua
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational complexity dynamic multiple fault diagnosis Fault diagnosis Hidden Markov Model Hidden Markov models Lagrangian functions Optimization methods Particle swarm optimization QPSO Speech recognition Stochastic processes System testing Viterbi algorithm
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