Affiliation:
1. University of South China
2. South China University of Technology
3. Guangzhou University
Abstract
In this paper, an approach of rolling bearing fault diagnosis based on artificial immune system (AIS) is presented. The features extracted from vibration signals are normalized as the original antigens, and an advanced clone selection algorithm (CSA) is applied to train the antibodies. Then use the antibody set to recognize the faults online. The experiments on rolling bearing show the approach is effective and feasible.
Publisher
Trans Tech Publications, Ltd.
Reference5 articles.
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