基于相关矩阵的动力传动系统故障诊断多类传感器优化布置方法研究  

Research on Multi-Class Sensor Placement Optimisation Method for Fault Diagnosis of Mechanical Power and Transmission System Based on Fault-Sensor Dependence Matrix

作　　者：闫鹏程[1,2] 黄鑫[3] 连光耀[2] 张延生[2] 

机构地区：[1]华中科技大学,湖北武汉430074 [2]军械工程学院,河北石家庄101123 [3]装甲兵工程学院,北京丰台100072

出　　处：《计算机测量与控制》2012年第7期1753-1756,共4页Computer Measurement &Control

摘　　要：针对动力传动系统故障诊断研究中缺乏多类传感器优化布置方法的问题,在对测试性工程诊断设计阶段传感器优化布置方法进行深入研究的基础上,根据故障机理分析和故障树分析结果,提出基于故障-传感器相关矩阵的传感器布置备选方案获取方法及优化目标;在分析遗传算法和粒子群优化算法的基础上,提出遗传粒子群优化算法,在实例应用中获得了较好的结果;最后通过实例,验证了该方法的有效性。Abstract： There is a few multi--class sensor placement optimisation method in research on mechanical power and transmission system fault diagnosis. Based on research deeply on diagnosis design in testability engineering, according to the results of fault mechanism analysis and fault tree analysis, the method getting all possible sensor placements and the optimization goal are given. By analysing Genetic Algorithm and Particle Swarm Optimization Algorithm, the Genetic Particle Swarm Optimization Algorithm is given. A example proves that the per- formance of the algorithm is high. It is shown that the research is very important in the theory and application intrducing information fusion for complex mechanical system fault diagnosis.

关 键 词：动力传动系统 故障诊断 传感器优化布置 故障-传感器相关矩阵 

分 类 号：TJ81[兵器科学与技术—武器系统与运用工程] TP306[自动化与计算机技术—计算机系统结构]