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|Title:||Prediction of multiple failures for a mobile robot steering system||Authors:||Yu, Ming
|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.||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
|DOI:||10.1109/ISIE.2012.6237267||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Conference Papers|
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