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Status Accepted
journal_subject Part A
Article Type Regular Paper (More than 4 pages)
Article Filed
Article Title A Selection Method of Vibration Signal Feature Based on Mutual Information and Distance Measurement
Keywords Vibration Signals, Mutual Information, Distance Measurement, Fault Diagnosis.
Abstract Feature selection is an important problem for fault diagnosis systems. This paper proposes a selection method of characteristic parameters based on mutual information theory and distance measurement between parameters. Its core goal is to search the parameter subset which has higher relevance between the selection and state class, the lower redundancy and the longer distance measurement between the parameters. The experiment compared the new algorithm with traditional methods by using Particle Swarm Optimization. The results prove that the new method leads to improvement on feature selection and classification accuracy.
Authors
First Name Middle Name Last Name E-Mail Corresponding
Huaqing Wang wanghq_buct@hotmail.com Yes
Hongfang Yuan No
Changdui Zhu No
Xi Cao No
Wenbin Liu No
Jianfeng Yang No
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