Factorial Hidden Markov Model Recognition Method Based on Multi-Channel Information Fusion
Combining Self-organizing Feature Map (SOM) and Factorial hidden Markov model (FHMM), a new FHMM fault recognition method based on multi-sensor vibration information fusion is proposed. In the proposed method, the SOM neural network is used to reduce the information redundancy in feature vectors extracted from the multi-sensor’s vibration measurements, FHMM as a classifier. The fault recognition in the speed-up and speed-down process of rotating machinery was successfully completed. The experiment result shows that the proposed method is very effective.
Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu
Z. N. Li et al., "Factorial Hidden Markov Model Recognition Method Based on Multi-Channel Information Fusion", Advanced Materials Research, Vols. 291-294, pp. 2027-2033, 2011