Availability Modeling and Maintenance Optimization of Storage System Based on Two-Stage Sampling Scheme  
Author Tao Peng


Co-Author(s) Li Yang; Yi Chen; Miaomaio Wang; Xiaobing Ma


Abstract This paper proposes an availability modeling and maintenance decision optimization approach for a batch of storage equipment under two-stage sampling scheme. By analyzing the key factors affecting the availability of equipment, including periodic maintenance intervals, sampling standards (including sampling number and acceptance threshold), a functional relationship model between the instantaneous availability of storage equipment and the key factors is established, and the average availability of storage equipment is calculated iteratively. The maintenance decision variables of storage equipment include maintenance frequency and sampling method, and the joint optimization based on genetic algorithm is carried out so as to maximize the average availability in the life cycle. The applicability of the approach is demonstrated via a case study of missile turbojet engine, where the test results show that the proposed storage equipment availability modeling and maintenance decision optimization method can effectively evaluate and improve the availability of equipment.


Keywords Availability; Storage system; Maintenance decision optimization, Sampling
    Article #:  RQD27-84

Proceedings of 27th ISSAT International Conference on Reliability & Quality in Design
Virtual Event

August 4-6, 2022