Reliability Evaluation Utilizing Data from Accelerated Life Tests and Field Failure Observations
This paper presents a reliability estimation method for high reliability products. An accelerated experiment is employed in which the lifetime follows an exponential distribution with the failure rate being related to the accelerated factor exponentially. A Bayes approach is proposed to improve product reliability evaluation by integrating failure information from both the field performance data and the accelerated life testing data. It is found that a products field failure characteristic may not be directly extrapolated from the accelerated life testing results because of the variation of field use condition that cannot be replicated in the lab-test environment A calibration factor is introduced to model the effect of uncertainty of field stress on product lifetime. The proposed Bayes approach provides a proper mechanism of fusing information from various sources. An example of an electronic device is provided to illustrate the use of the proposed method.
accelerated life testing reliability evaluation Bayes approach
Wang Qihua Wu Yueqin Fu Yun
China Aero-Polytechnology Establishment, Beijing 100028,China China Aero-Polytechnology Establishment,Beijing 100028,China
国际会议
2010 Asia-Pacific International Symposium on Aerospace Technology(2010 亚太航空航天技术研讨会 APISAT 2010)
西安
英文
962-965
2010-09-01(万方平台首次上网日期,不代表论文的发表时间)