Title :
Reliability assessment based on D-S evidence theory
Author :
Sun, Yongquan ; Guo, Jianying
Author_Institution :
Dept. of Meas. Technol. & Instrum., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
For many high-reliability products, reliability assessment relying on the tests has become unrealistic, but expert experience shows its advantage to the above problem. In order to resolve the problem that how to fuse the expert experience, we convert the expert experience into the reliability probability density distribution, determine the knowledge framework and basic probability assignment function based on the definition of consistent degree, fuse the basic probability distribution based on D-S fusion rule, and get the fusion distribution weights, finally obtain the reliability of the product. This method has been validated by an example, and shows perfect.
Keywords :
reliability; statistical distributions; D-S evidence theory; D-S fusion rule; expert experience; fusion distribution weight; knowledge framework; probability assignment function; product reliability; reliability assessment; reliability probability density distribution; Design engineering; Fuses; Gaussian distribution; Instruments; Random variables; Reliability engineering; Reliability theory; Sun; Testing; Uncertainty; D-S evidence theory; consistent degree; expert experience; reliability assessment;
Conference_Titel :
Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4903-3
Electronic_ISBN :
978-1-4244-4905-7
DOI :
10.1109/ICRMS.2009.5270161