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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 6 , ISSUE 2 (April 2013) > List of articles


Wu Hongbing * / Lou Peihuang / Tang Dunbing / Wu Hongbing * / Lou Peihuang / Tang Dunbing

Keywords : Adaptive, neural network, fault diagnosis, motor, clone selection algorithm

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 2, Pages 482-504, DOI:

License : (CC BY-NC-ND 4.0)

Received Date : 14-January-2013 / Accepted: 16-March-2013 / Published Online: 10-April-2013



A fault diagnosis method based on adaptive dynamic clone selection neural network (ADCSNN) is proposed in this paper. In this method the weights of neural network is encoded as the antibody, and the network error is considered as the antigen. The algorithm is then applied to fault detection of motor equipment. The experiments results show that the fault diagnosis method based on ADCS neural network has the capability in escaping local minimum and improving the algorithm speed, this gives better performance.

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