APU FMEA Validation and its Application to Fault Identification

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Proceedings titleProceedings of ASME
Conference30th ASME International Design Engineering Technical Conference and Computer and Information in Engineering Conference (ASME IDETC/CIE 2010), Montreal, Quebec, Canada, August 15-18, 2010
SubjectInformation and Communications Technologies
AbstractFMEA (Failure Mode and Effects Analysis) is a systematic method to characterize product and process problems. As a standard document, an FMEA is produced during the design of a product or system. However, once a system is deployed, the corresponding FMEA is rarely validated and updated. This is mainly due to the lack of method to validate and update FMEA. This paper argues that historical maintenance and operational data could be used to help address this problem. Building on data mining and database techniques, the paper introduces a FMEA validation and update technique. The proposed technique derives statistics from real world historical operation and maintenance data and uses these statistics to update key FMEA parameters such as Failure Rate and Failure Mode Probability. The paper then shows how the validated FMEA can be used with data mining for fault detection and identification of root contributing component for a given failure mode or failure effect. The paper presents the developed methodology for FMEA validation and experimental results for fault identification. The results show that the updated FMEA can provide more reliable and accurate information that could benefit the decision-making process and improve maintenance efficiency.
Publication date
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number15296843
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Record identifier71899e19-ccdc-49cc-9480-b77d64db4b2a
Record created2010-06-10
Record modified2016-05-09
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