Performance degradation and random shock are commonly regarded as two dependent competing risks
for system failures. One method based on effective service age is proposed to jointly model the cumulative effect
of random shock and system degradation, and the reliability model of degradation system under Nonhomogeneous
Poisson processes (NHPP) shocks is derived. Under the assumption that preventive maintenance (PM) is imperfective
and the corrective maintenance (CM) is minimal repair, one maintenance policy which combines PM and
CM is presented. Moreover, the two decision variables, PM interval and the number of PMs before replacement,
are determined by a multi-objective maintenance optimization method which simultaneously maximizes the system
availability and minimizes the system long-run expect cost rate. Finally, the performance of the proposed
maintenance optimization policy is demonstrated via a numerical example.
Lü Yi (吕燚), ZHANG Yun (章云)
. Reliability Modeling and Maintenance Policy Optimization for Deteriorating System Under Random Shock[J]. Journal of Shanghai Jiaotong University(Science), 2018
, 23(6)
: 791
-797
.
DOI: 10.1007/s12204-018-1985-y
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