系统工程与电子技术

• 可靠性 • 上一篇    

舰船装备多状态可修复系统可靠性通用生成函数解算方法

史跃东1, 陈砚桥2, 金家善1   

  1. 1. 海军工程大学科研部, 湖北 武汉 430033; 2. 海军工程大学动力工程学院, 湖北 武汉 430033
  • 出版日期:2016-08-25 发布日期:2010-01-03

Reliability analysis for warship armament multistate repairable system based on universal generating function method

SHI Yue-dong1, CHEN Yan-qiao2, JIN Jia-shan1   

  1. 1. Office of Research & Development, Naval University of Engineering, Wuhan 430033, China;
    2. College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
  • Online:2016-08-25 Published:2010-01-03

摘要:

远洋舰船装备结构复杂、系统庞大,可靠性要求高。开展舰船装备复杂系统可靠性研究,对于科学控制装备成本、实施维修决策,具有重要意义。针对舰船装备复杂系统,以可修复双锅汽轮发电系统为例,开展多状态系统可靠性建模。在此基础上,通过引入通用生产算子和通用生产函数,完成多状态复杂系统可用度、期望性能、性能失效等可靠性指标解算,并给出稳态、瞬态数值分析结果。研究表明,解算方法通用性强、适用范围广、计算资源依赖程度低,远优于马尔可夫直接法;多状态模型建立合理,有效反映复杂装备系统可靠性变化规律,能为可靠性评估、装备采购及维修决策提供技术借鉴。

Abstract:

With complex structure and huge system, higher requirements for reliability of ocean warship armaments are emphasized. Reliability research with respect to the complex system about warship armaments is of great significance to control manufacture costs and make maintenance decision. Take double boiler turbine generator repairable system as an example, a multi-state system model for reliability analysis is established. Then by the introducing universal generating operator and the universal generating function, the availability, expected output performance, and performance deficiency for complex multi-state system are calculated, and the steady-state numerical value and the instantaneous change law about those parameters are provided. Research shows that the calculating method adopted in this paper is much better than the Markov straightforward method, with good generality, strong applicability, and fewer computing resources. Moreover, the simulation result indicates that the multi-state model established here is reasonable, which can effectively reflect the change law of reliability with regard to complex multi-state system, and can provide technology reference for reliability assessment, equipment-purchase, and maintenance decision.