Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102129
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dc.contributor.authorYu, Mingen
dc.contributor.authorWang, Danweien
dc.contributor.authorChen, Qijunen
dc.date.accessioned2013-10-10T04:31:45Zen
dc.date.accessioned2019-12-06T20:50:07Z-
dc.date.available2013-10-10T04:31:45Zen
dc.date.available2019-12-06T20:50:07Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.citationYu, 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.en
dc.identifier.urihttps://hdl.handle.net/10356/102129-
dc.description.abstractFault 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.en
dc.language.isoenen
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titlePrediction of multiple failures for a mobile robot steering systemen
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.conferenceIEEE International Symposium on Industrial Electronics (21st : 2012 : Hangzhou, China)en
dc.identifier.doi10.1109/ISIE.2012.6237267en
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:EEE Conference Papers

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