Catalog Home Page

Intelligent multiple-fault diagnosis of a mobile robot system in the presence of hide effect

Yu, M., Chen, S., Xia, H., Li, M., Wang, H.ORCID: 0000-0003-2789-9530, Xu, J. and Zhang, Y. (2016) Intelligent multiple-fault diagnosis of a mobile robot system in the presence of hide effect. In: Proceedings of 2016 IEEE International Conference on Mechatronics and Automation, 7 - 10 August 2016, Harbin, China pp. 1572-1577.

Link to Published Version: https://doi.org/10.1109/ICMA.2016.7558798
*Subscription may be required

Abstract

This work focuses on the development of a method to multiple-fault diagnosis of a mobile robot system in the presence of hide effect. The faults under consideration include parametric faults, sensor faults as well as fault modes. Multiple faults can happen at different time instances, and fault signature of the earlier fault can hide fault signature of the latter one which adds to difficulty of the latter fault diagnosis. In order to overcome this problem, a method for the latter fault isolation is introduced by using the second level residual (SLR). After fault candidates are obtained using the SLR, a fuzzy harmony search algorithm is proposed for fault identification. Simulation results validate the effectiveness of the proposed method.

Item Type: Conference Paper
Publisher: IEEE
Copyright: © 2016 IEEE
URI: http://researchrepository.murdoch.edu.au/id/eprint/53396
Item Control Page Item Control Page