Rolling Bearing Fault Diagnosis Based on AIS

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 139-141)

Edited by:

Liangchi Zhang, Chunliang Zhang and Tielin Shi

Pages:

2569-2573

DOI:

10.4028/www.scientific.net/AMR.139-141.2569

Citation:

Y. B. Hu et al., "Rolling Bearing Fault Diagnosis Based on AIS", Advanced Materials Research, Vols. 139-141, pp. 2569-2573, 2010

Online since:

October 2010

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Price:

$35.00

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