NDLI: Raytheon assessment of PRISM/spl reg/ as a field failure prediction tool

Content Provider	IEEE Xplore Digital Library
Author	Smith, C.L. Womack, J.B.
Copyright Year	2004
Description	Author affiliation: Raytheon Co., McKinney, TX, USA (Smith, C.L.; Womack, J.B.)
Abstract	For any company interested in predicting field reliability performance, finding a prediction technique that provides a high degree of fidelity to observed field data is essential. With the discontinuance of military handbook Mil-Hdbk-217, reliability prediction of electronic equipment, and the limited environmental applications of Telcordia SR-332, reliability prediction for electronic equipment, this paper evaluates the reliability analysis center's (RAC) PRISM/spl reg/ software tool as a potential improved methodology in predicting the field reliability of military systems. This evaluation compares the PRISM/spl reg/ predicted failure rate to the actual observed field failure rate for three military electronics units. While initial results showed the predicted failure rate to be approximately one-half of the observed field failure rate, the ratio of predicted failure rate to observed field failure rate was consistent across three independent systems. Furthermore, the PRISM/spl reg/ methodology has features such as process grade factors and field failure data incorporation through Bayesian analysis which show promise in allowing a more accurate field reliability prediction to be generated. As a point of comparison, the initial failure rate prediction by Raytheon is opposite to an earlier assessment performed by TRW automotive where field data was not factored in through the use of PRISM's/spl reg/ Bayesian analysis option (M.G. Priore, et al., 2002). TRW automotive found a predicted failure rate that was twice the observed field failure rate. This paper discusses Raytheon's assessment of the PRISM/spl reg/ software tool including the reason for choosing PRISM/spl reg/, application of the PRISM/spl reg/ prediction methodology to three military electronic units, and analysis of the prediction results. This paper also discusses future plans for refinements in the use of PRISM's/spl reg/ features to produce a more accurate reliability prediction of field performance.
Sponsorship	IEEE Reliability Soc. Electron. Div., American Soc. for Quality AIAA Reliability Div., American Soc. for Quality IEST QC & RE Div., IIE SAE International SOLE International Soc. of Logistics Soc. for Reliability Eng. System Safety Soc
Starting Page	37
Ending Page	42
File Size	344220
Page Count	6
File Format	PDF
ISBN	0780382153
DOI	10.1109/RAMS.2004.1285420
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-01-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software tools Failure analysis Aerospace electronics Military aircraft Predictive models Military equipment Electronic equipment Application software Bayesian methods Automotive engineering
Content Type	Text
Resource Type	Article

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