Factorial Hidden Markov Model Recognition Method Based on Multi-Channel Information Fusion

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 291-294)

Edited by:

Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu

Pages:

2027-2033

DOI:

10.4028/www.scientific.net/AMR.291-294.2027

Citation:

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

Online since:

July 2011

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Price:

$35.00

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