TY - GEN
T1 - Product reliability prediction with failure information fusion
AU - Pan, Rong
AU - Batres, Juan
PY - 2007/12/1
Y1 - 2007/12/1
N2 - A Bayesian statistical approach is proposed to improve product reliability prediction by fusing product failure information from both field performance data and accelerated life testing data. Through this approach a calibration factor is developed, which compensates the difference of failure time distribution when the product is under the operational condition comparing to the lab testing condition. An example, based on the Arrhenius lifetime-stress function of temperature, is used to illustrate how to estimate the calibration, factor as well as other important parameters of the failure time distribution.
AB - A Bayesian statistical approach is proposed to improve product reliability prediction by fusing product failure information from both field performance data and accelerated life testing data. Through this approach a calibration factor is developed, which compensates the difference of failure time distribution when the product is under the operational condition comparing to the lab testing condition. An example, based on the Arrhenius lifetime-stress function of temperature, is used to illustrate how to estimate the calibration, factor as well as other important parameters of the failure time distribution.
KW - Accelerated life testing
KW - Bayesian method
KW - Information fusion
KW - Reliability prediction
UR - http://www.scopus.com/inward/record.url?scp=62449263845&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=62449263845&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:62449263845
SN - 9780976348627
T3 - Proceedings - 13th ISSAT International Conference on Reliability and Quality in Design
SP - 102
EP - 106
BT - Proceedings - 13th ISSAT International Conference on Reliability and Quality in Design
T2 - 13th ISSAT International Conference on Reliability and Quality in Design
Y2 - 2 August 2007 through 4 August 2007
ER -