Elastic Maintenance Cycle Model of System Based on Multi-objective Particle Swarm Optimization Algorithm
- DOI
- 10.2991/icamcs-16.2016.84How to use a DOI?
- Keywords
- reliability, cost, maintenance cycle, multi-objective, particle swarm optimization
- Abstract
The failure rate of it will increase with the increase of the system running time, the traditional periodic preventive maintenance can meet system failure characteristics, so improving the safety of gas pipeline and searching the system elastic maintenance period mode have the important practical significance. To improve the reliability of the system, control maintenance costs, according to the change of system failure rate, this paper will combine system reliability with the efficiency of system maintenance, on the theory of preventive maintenance, and use age reduction factor to establish reliability-maintenance cost multi-objective optimization model of the system. Combining with the engineering example, apply the multi-objective particle swarm optimization algorithm to solve the model example, in MATLAB platform.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhi-xia Zhang AU - Hui Li PY - 2016/06 DA - 2016/06 TI - Elastic Maintenance Cycle Model of System Based on Multi-objective Particle Swarm Optimization Algorithm BT - Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science PB - Atlantis Press SP - 396 EP - 399 SN - 2352-5401 UR - https://doi.org/10.2991/icamcs-16.2016.84 DO - 10.2991/icamcs-16.2016.84 ID - Zhang2016/06 ER -