A new machine condition monitoring method based on likelihood change of a stochastic model
We detect machine defective condition with only normal hidden Markov model. Defect can be precisely detected by observing likelihood change of normal HMM on incoming data. If defect data are available, types of defect can also be identified with defect HMM. Proposed method showed accurate and robust diagnostic performance on various application examples.
machine condition monitoring hidden markov model (hmm) pattern recognition weld monitoring