宇航学报

宇航学报 ›› 2013, Vol. 34 ›› Issue (9): 1253-1258.doi: 10.3873/j.issn.1000-1328.2013.09.011

• 电子信息 • 上一篇    下一篇

考虑传感器故障检测能力的PHM系统传感器优化配置方法

朱喜华，李颖晖，侯世芳，晏海波   

  1. 1.空军工程大学航空航天工程学院，西安 710038； 2.陕西飞机工业集团 飞机设计研究院，汉中 723213；
    3.中国人民解放军95903部队89分队，武汉 430331
  • 收稿日期:2012-12-19 修回日期:2013-04-10 出版日期:2013-09-15 发布日期:2013-09-25
  • 基金资助:

    国家自然科学基金项目（61074007）；陕西省自然科学基金项目(2012JM8016)；总装预研基金项目

Sensor Optimization Placement Method for PHM System Taking the Fault Detectability of the Sensor into Account

ZHU Xi hua,  LI Ying hui,  HOU Shi fang,  YAN Hai bo   

  1. 1. School of Aeronautics and Astronautics Engineering, Air Force Engineering University, Xi’an 710038, China;
    2. Aircraft Design and Research Institute, Shaanxi Aircraft Industry Group, Xi’an 723213, China;
    3. 89 Element, Unit 95903 of Chinese People’s Liberation Army, Wuhan 430331, China
  • Received:2012-12-19 Revised:2013-04-10 Online:2013-09-15 Published:2013-09-25

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摘要：

传感器优化配置是航空航天设备PHM系统功能得以有效实现的基础和保证。针对目前传感器配置研究中未考虑传感器实际属性的问题，建立了考虑传感器故障检测能力的PHM系统传感器优化配置模型。首先分析了系统故障-传感器相关性矩阵的含义，将传感器的故障检测能力和相关性矩阵相结合，以概率形式描述了传感器对故障的检测性能。在此基础上根据系统的测试性指标要求建立传感器优化配置模型，并采用混沌二进制粒子群优化算法求解。仿真实例结果表明，本文建立的优化模型更加符合实际情况，配置结果更加准确和可靠。

关键词: 传感器优化配置, 故障检测能力, 传感器-故障相关性矩阵, 二进制粒子群算法, 混沌

Abstract:

Sensor optimization placement is foundation and guarantee for a PHM system function’s effective implementation for aerospace equipments. Considering the problem that the sensors’ practical attributes are ignored in the actual research on sensor placement, the sensor optimization placement model for the PHM system taking the fault detectability of the sensors into account is proposed. First, the meaning of the fault sensor relativity matrix is analyzed, the sensor’s fault detectability and the relativity matrix are combined, and then the sensor’s fault detection performance is described in the form of probability. Based on this, the sensor optimization placement model is founded according to the testability index requirements of the system, and the chaos binary Particle Swarm Optimization (PSO) algorithm is used to solve the problem. The results of a simulation example show that the optimization model is closer to the practice, and the placement results are   more accurate and reliable.

Key words: Sensor optimization placement, Fault detectability, Fault sensor relativity matrix, Binary PSO argorithm, Chaos

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