Paper Title:
Rolling Bearing Fault Diagnosis Based on AIS
  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.

  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, X. Yue, C. L. Zhang, "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
$32.00
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