Reliability Prediction of Electronic Equipment with Fuzzy Inference

Abstract

This paper deals with an electronic equipment reliability MTBF(mean time between failures). When electronic equipment and/or precision equipment are used in field, there are usually large differences between a design MTBF and a real MTBF. This problem is mainly dependent on an initial failure of equipment which is caused by a poor workmanship of worker in the maker, but this problem may continue long period. In this paper, some MTBFs of an airborne equipment at each period in field are predicted with a fuzzy inference method, and each predicted MTBF is compared with the real MTBF in field. It is found that those MTBFs are similar about ± 10 %. After that, this paper insists that the fuzzy inference method is useful to solve the reliability problems and to make a planning for supplementation of the spare parts/equipment in field.