On-line health monitoring of passive electronic components using digitally controlled power converter

dc.contributor.advisorPerinpanayagam, Suresh
dc.contributor.authorMann, Jaspreet Kaur
dc.date.accessioned2016-10-18T15:41:03Z
dc.date.available2016-10-18T15:41:03Z
dc.date.issued2016-07
dc.description.abstractThis thesis presents System Identification based On-Line Health Monitoring to analyse the dynamic behaviour of the Switch-Mode Power Converter (SMPC), detect, and diagnose anomalies in passive electronic components. The anomaly detection in this research is determined by examining the change in passive component values due to degradation. Degradation, which is a long-term process, however, is characterised by inserting different component values in the power converter. The novel health-monitoring capability enables accurate detection of passive electronic components despite component variations and uncertainties and is valid for different topologies of the switch-mode power converter. The need for a novel on-line health-monitoring capability is driven by the need to improve unscheduled in-service, logistics, and engineering costs, including the requirement of Integrated Vehicle Health Management (IVHM) for electronic systems and components. The detection and diagnosis of degradations and failures within power converters is of great importance for aircraft electronic manufacturers, such as Thales, where component failures result in equipment downtime and large maintenance costs. The fact that existing techniques, including built-in-self test, use of dedicated sensors, physics-of-failure, and data-driven based health-monitoring, have yet to deliver extensive application in IVHM, provides the motivation for this research ... [cont.].en_UK
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/10778
dc.language.isoenen_UK
dc.publisherCranfield Universityen_UK
dc.rights© Cranfield University, 2016. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.en_UK
dc.subjectIVHMen_UK
dc.subjectSystem Identificationen_UK
dc.subjectSwitch-Mode Power Converteren_UK
dc.subjectDigital Controlen_UK
dc.subjectMulti-tone Excitationen_UK
dc.subjectIQ Demodulationen_UK
dc.subjectUncertainty Managementen_UK
dc.titleOn-line health monitoring of passive electronic components using digitally controlled power converteren_UK
dc.typeThesis or dissertationen_UK
dc.type.qualificationlevelDoctoralen_UK
dc.type.qualificationnamePhDen_UK

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