TY - JOUR
T1 - Condition-based maintenance for systems with aging and cumulative damage based on proportional hazards model
AU - Liu, Bin
AU - Liang, Zhenglin
AU - Parlikad, Ajith Kumar
AU - Xie, Min
AU - Kuo, Way
PY - 2017/12/31
Y1 - 2017/12/31
N2 - This paper develops a condition-based maintenance (CBM) policy for systems subject to aging and cumulative damage. The cumulative damage is modeled by a continuous degradation process. Different from previous studies which assume that the system fails when the degradation level exceeds a specific threshold, this paper argues that the degradation itself does not directly lead to system failure, but increases the failure risk of the system. Proportional hazards model (PHM) is employed to characterize the joint effect of aging and cumulative damage. CBM models are developed for two cases: one assumes that the distribution parameters of the degradation process are known in advance, while the other assumes that the parameters are unknown and need to be estimated during system operation. In the first case, an optimal maintenance policy is obtained by minimizing the long-run cost rate. For the case with unknown parameters, periodic inspection is adopted to monitor the degradation level of the system and update the distribution parameters. A case study of Asphalt Plug Joint in UK bridge system is employed to illustrate the maintenance policy.
AB - This paper develops a condition-based maintenance (CBM) policy for systems subject to aging and cumulative damage. The cumulative damage is modeled by a continuous degradation process. Different from previous studies which assume that the system fails when the degradation level exceeds a specific threshold, this paper argues that the degradation itself does not directly lead to system failure, but increases the failure risk of the system. Proportional hazards model (PHM) is employed to characterize the joint effect of aging and cumulative damage. CBM models are developed for two cases: one assumes that the distribution parameters of the degradation process are known in advance, while the other assumes that the parameters are unknown and need to be estimated during system operation. In the first case, an optimal maintenance policy is obtained by minimizing the long-run cost rate. For the case with unknown parameters, periodic inspection is adopted to monitor the degradation level of the system and update the distribution parameters. A case study of Asphalt Plug Joint in UK bridge system is employed to illustrate the maintenance policy.
KW - Condition-based maintenance
KW - aging and degradation
KW - proportional hazards model
KW - unknown distribution parameters
KW - cumulative damage
UR - https://www.journals.elsevier.com/reliability-engineering-and-system-safety
UR - https://www.repository.cam.ac.uk/handle/1810/263716
U2 - 10.1016/j.ress.2017.04.010
DO - 10.1016/j.ress.2017.04.010
M3 - Article
VL - 168
SP - 200
EP - 209
JO - Reliability Engineering and System Safety
JF - Reliability Engineering and System Safety
SN - 0951-8320
ER -