TY - JOUR
T1 - Application of reliability growth model in step-down stress accelerated storage test
AU - Wang, Ya Hui
AU - Li, Xiao Gang
AU - Qin, Tai Chun
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Step-down accelerated storage test is equalled to reliability growth, a method of step-down stress accelerated storage test based Army Materiel System Analysis Activity (AMSAA) model is proposed, according to the step-down stress, the mean time between failures (MTBF) under normal stress can be obtained, by using the AMSAA model. First, through the product’s cumulative failure time, cumulative failure numbers and based on AMSAA model, the product’s instantaneous MTBF is shown. Then the step-down stress is divided into n ladders, and there is only one fault under each stress, the joint probability density function is shown by the cumulative failure time of each step-down stress, and the parameters of the AMSAA model are estimated by the maximum likelihood estimation, then the point estimation of the product’s instantaneous MTBF is got. By choosing instantaneous MTBF of certain accelerated stresses and combined respective physical accelerated model, the product’s storage lifetime is estimated. Finally, a case study is performed using this method. The effectiveness of this method is shown, for the point estimation of each parameter is little different. Thus it provides a new evaluation method for step-down accelerated storage test.
AB - Step-down accelerated storage test is equalled to reliability growth, a method of step-down stress accelerated storage test based Army Materiel System Analysis Activity (AMSAA) model is proposed, according to the step-down stress, the mean time between failures (MTBF) under normal stress can be obtained, by using the AMSAA model. First, through the product’s cumulative failure time, cumulative failure numbers and based on AMSAA model, the product’s instantaneous MTBF is shown. Then the step-down stress is divided into n ladders, and there is only one fault under each stress, the joint probability density function is shown by the cumulative failure time of each step-down stress, and the parameters of the AMSAA model are estimated by the maximum likelihood estimation, then the point estimation of the product’s instantaneous MTBF is got. By choosing instantaneous MTBF of certain accelerated stresses and combined respective physical accelerated model, the product’s storage lifetime is estimated. Finally, a case study is performed using this method. The effectiveness of this method is shown, for the point estimation of each parameter is little different. Thus it provides a new evaluation method for step-down accelerated storage test.
KW - AMSAA model
KW - MTBF
KW - Physical accelerated model
KW - Reliability growth
KW - Step-down stress
UR - https://www.scopus.com/pages/publications/84951118589
U2 - 10.1007/978-3-319-09507-3_117
DO - 10.1007/978-3-319-09507-3_117
M3 - 文章
AN - SCOPUS:84951118589
SN - 2195-4356
VL - 19
SP - 1381
EP - 1387
JO - Lecture Notes in Mechanical Engineering
JF - Lecture Notes in Mechanical Engineering
ER -