@inproceedings{1292d473d4e146c78e9c9085ca3cc1bf,
title = "A statistical method of accelerated life testing based on fuzzy theory",
abstract = "Failure data in accelerated life test are imprecise due to kind of subjectivity. This makes the assessment of testing lack of accuracy. A statistical model of accelerated life testing based on fuzzy theory is proposed in this paper. The model aims to describe the subjectivity of failure data and give a fuzzy interval assessment of lifetime and reliability comparing to the traditional point estimation. Firstly, triangular membership function is chosen to describe Type II censored data and their a-level cut sets are settled under acceptable level. Then, the statistical modelling for ALT data is established based on fuzzy theory by integrating maximum likelihood estimation to determine the membership functions of parameters. And using Particle Swarm Optimization algorithm calculates their fuzzy evaluation values. Finally, the proposed method is verified by the simulation study.",
keywords = "Accelerated life testing, Fuzzy theory, Maximum likelihood estimation, Particle swarm optimization, Reliability",
author = "Han Xu and Le Liu and Li, \{Xiao Yang\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 10th International Conference on Reliability, Maintainability and Safety, ICRMS 2014 ; Conference date: 06-08-2014 Through 08-08-2014",
year = "2014",
month = may,
day = "13",
doi = "10.1109/ICRMS.2014.7107297",
language = "英语",
series = "ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety: More Reliable Products, More Secure Life",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "746--749",
editor = "Yunfei En and Chunyang Ji",
booktitle = "ICRMS 2014 - Proceedings of 2014 10th International Conference on Reliability, Maintainability and Safety",
address = "美国",
}