摘要
复杂装备系统结构复杂,运行模式多,导致传统的维修性预计模型无法准确计算出平均修复时间(meantime to repair,MTTR).在分析复杂装备系统维修特点的基础上,提出考虑设备拆卸顺序和系统故障模式的维修性预计模型,并应用CPN建立多层次的仿真模型,通过仿真运行获得MTTR.CPN模型中定义了模型变量,通过将计算MTTR的输入参数化,能够保证CPN模型具备广泛的适应性.案例仿真表明所提出的方法具有可行性.
The complex system structure and multiple operation modes of complex equipment lead to the hardness to accurately calculate mean time to repair （MTTR） using conventional maintainability prediction model. After analyzing the characteristics of the complex equipment maintain- ability, a maintainability prediction model was presented, which took into account the disassembling order and the system failure modes. And then the multi-layer CPN model was established, and the MTTR was obtained by simulations. In the proposed CPN model, the control variables were defined, and the adaptability of the CPN model was guaranteed by parameterizing the input quantities. Finally, a case was simulated to demonstrate its feasibility.
出处
《工程设计学报》
CSCD
北大核心
2010年第1期25-29,共5页
Chinese Journal of Engineering Design
