Title :
A combined fuzzy-logic and physics-of-failure approach to reliability prediction
Author_Institution :
R&D Inst. for Electron. Components, Bucharest, Romania
fDate :
6/1/1995 12:00:00 AM
Abstract :
An original reliability prediction procedure is presented. The physics of failure accounts for the failure mechanisms involved (a lognormal distribution was presumed); the interactions (synergies) between the technology factors depending on the manufacturing techniques are considered. The basis of this methodology (called SYRP=synergetic reliability prediction) is the assessment of failure-risk coefficients (FRC), based on fuzzy logic, for the potential failure mechanisms induced at each manufacturing step. These FRC are corrected at the subsequent steps by considering the synergy of the manufacturing factors, At the end of the manufacturing process, final FRC are obtained for each potential failure mechanism; the parameters of the lognormal distribution are calculated with a simple algorithm. Experimental results for four lots of the same type of semiconductor devices, each lot being manufactured with a slightly different technology, were obtained. SYRP forecasts for these four lots agree well with accelerated life test results. This is a fairly good result, because SYRP was used early, at the design phase
Keywords :
failure analysis; fuzzy logic; manufacture; reliability theory; semiconductor device models; semiconductor device reliability; algorithm; failure mechanisms; fuzzy logic; lognormal distribution; manufacturing techniques; physics-of-failure; synergetic reliability prediction; technology factors; Electronic components; Failure analysis; Fuzzy sets; Physics; Product design; Pulp manufacturing; Research and development; Semiconductor device manufacture; Semiconductor device reliability; Semiconductor devices;
Journal_Title :
Reliability, IEEE Transactions on