Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/102129
Title: | Prediction of multiple failures for a mobile robot steering system | Authors: | Yu, Ming Wang, Danwei Chen, Qijun |
Keywords: | DRNTU::Engineering::Electrical and electronic engineering | Issue Date: | 2012 | Source: | Yu, M., Wang, D., & Chen, Q. (2012). Prediction of multiple failures for a mobile robot steering system. 2012 IEEE 21st International Symposium on Industrial Electronics (ISIE), pp.1240-1245. | Conference: | IEEE International Symposium on Industrial Electronics (21st : 2012 : Hangzhou, China) | Abstract: | Fault diagnosis and failure prognosis are critical techniques to improve the safety and reliability of modern complex electromechanical systems. In this paper, a model-based prognosis method is developed to deal with multiple incipient faults in a mobile robot steering system. This method utilizes the concept of Augmented Global Analytical Redundancy Relations (AGARRs) to handle failures with both parametric and non-parametric nature. In order to realize multiple failures prediction, a multiple Hybrid Particle Swarm Optimization (HPSO) algorithm is proposed. Simulation results verify the effectiveness of the proposed method in a front steering system of a CyCab mobile robot. | URI: | https://hdl.handle.net/10356/102129 http://hdl.handle.net/10220/16373 |
DOI: | 10.1109/ISIE.2012.6237267 | Schools: | School of Electrical and Electronic Engineering | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Conference Papers |
SCOPUSTM
Citations
50
2
Updated on Mar 12, 2024
Page view(s) 50
600
Updated on Mar 26, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.