Reliability prediction and failure mode effects and criticality analysis (FMECA) of electronic devices using fuzzy logic

Zafiropoulos, EP; Dialynas, EN

dc.contributor.author	Zafiropoulos, EP	en
dc.contributor.author	Dialynas, EN	en
dc.date.accessioned	2014-03-01T01:23:01Z
dc.date.available	2014-03-01T01:23:01Z
dc.date.issued	2005	en
dc.identifier.issn	0265671X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16772
dc.subject	Electronic equipment and components	en
dc.subject	Failure modes and effects analysis	en
dc.subject	Fuzzy logic	en
dc.title	Reliability prediction and failure mode effects and criticality analysis (FMECA) of electronic devices using fuzzy logic	en
heal.type	journalArticle	en
heal.identifier.primary	10.1108/02656710510577233	en
heal.identifier.secondary	http://dx.doi.org/10.1108/02656710510577233	en
heal.publicationDate	2005	en
heal.abstract	Purpose - The paper presents an efficient methodology that was developed for the reliability prediction and the failure mode effects and criticality analysis (FMECA) of electronic devices using fuzzy logic. Design/methodology/ approach - The reliability prediction is based on the general features and characteristics of the MIL-HDBK-217FN2 technical document and a derating plan for the system design is developed in order to maintain low components' failure rates. These failure rates are used in the FMECA, which uses fuzzy sets to represent the respective parameters. A fuzzy failure mode risk index is introduced that gives priority to the criticality of the components for the system operation, while a knowledge base is developed to identify the rules governing the fuzzy inputs and output. The fuzzy inference module is Mamdani type and uses the min-max implication-aggregation. Findings - A typical power electronic device such as a switched mode power supply was analyzed and the appropriate reliability indices were estimated using the stress factors of the derating plan. The fuzzy failure mode risk indices were calculated and compared with the respective indices calculated by the conventional FMECA. Research limitations/implications - Further research efforts are needed for the application of fuzzy modeling techniques in the area of reliability assessment of electronic devices. These research efforts can be concentrated in certain applications that have practical value. Practical implications - Practical applications can use a fuzzy FMECA modeling instead of the classical FMECA one, in order to obtain a more accurate analysis. Originality/value - Fuzzy modeling of FMECA is described which can calculate fuzzy failure mode risk indices. © Emerald Group Publishing Limited.	en
heal.journalName	International Journal of Quality and Reliability Management	en
dc.identifier.doi	10.1108/02656710510577233	en
dc.identifier.volume	22	en
dc.identifier.issue	2	en
dc.identifier.spage	183	en
dc.identifier.epage	200	en