Stochastic Program for Selective Maintenance Decision Considering Diagnostics Uncertainty of Built-In Test Equipment
Built-in test equipment (BITE) applies to complex system more and more, for there is uncertainty in diagnostics, so ineffective maintenance is evitable. In order to get an optimal maintenance plan under BITE diagnostic uncertainty and resource constraint, it establishes a selective maintenance model considering diagnostics uncertainty of BITE, and puts forward a resolving algorithm. Firstly, it expounds the model assumption of selective maintenance considering BITE diagnostic uncertainty, and establishes a discrete, nonlinear, chance constrained programming model. Secondly, it designs a simulation based particle swarm optimization algorithm to solve the model, and it includes particle representation, fitness function, update methods and algorithm framework. Thirdly, it provides an example to verify the validity and feasibility of the model and solving algorithm. The model is suit to make feasible decision under BITE diagnostics uncertainty for manager.
complex system built-in test equipment selective maintenance Uncertainty
Xue-Zhi LV Yong-Li YU Liu ZHANG Yun-Fu LIU Li-Yong CHEN
Maintenance engineering institute Ordnance Engineering College Shijiazhuang, China Department of research Teaching and Research Section of Military Theory Artillery Command Academy Xu
国际会议
西安
英文
610-615
2011-06-17（万方平台首次上网日期，不代表论文的发表时间）