A non-linear fuzzy regression for estimating reliability in a degradation process

作者：Gonzalez Gonzalez David S^*; Praga Alejo Rolando J; Cantu Sifuentes Mario; Torres Trevino Luis M; Mendez Gerardo M

来源：Applied Soft Computing, 2014, 16: 137-147.

DOI：10.1016/j.asoc.2013.11.019

• Degradation analysis
• Fuzzy reliability
• Fuzzy numbers
• Accelerated life testing
• Reliability engineering
• Non linear fuzzy regression

Since some assumptions such as the function phi(center dot) needs to be completely specified and the relationship between mu and phi(s) must have linear behavior in the model mu = a + b phi(S) used in the accelerated life testing analysis, generally do not hold; the estimation of stress level contains uncertainty. In this paper, we propose to use a non-linear fuzzy regression model for performing the extrapolation process and adapting the fuzzy probability theory to the classical reliability including uncertainty and process experience for obtaining fuzzy reliability of a component. Results show, that the proposed model has the ability to estimate reliability when the mentioned assumptions are violated and uncertainty is implicit; so that the classical models are unreliable.

• 出版日期2014-3