一种高效的通信电台测试点优化故障诊断策略

摘要

For the problems of test diagnosis for communication radio stations,a method based on GADPSO and rule of maximum diagnosis information is presented to solve the fault diagnosis of communication radio stations by optimizing the test point' s fault-test matrix. As the genetic operator is introduced into the DPSO,the algorithm is used to find the optimum test points. By adopting maximum fault diagnosis information, test order can be selected based on the information. The result shows that the GADPSO has better computation efficiency and precision. The GADPSO not only avoids the local optimization and premature convergence,but also improves the searching efficiency. Rule of maximum diagnosis information can estimate test points and is fast and effective in finding the test order. It offers an efficient method for the fault diagnosis strategy of communication radio station.%针对通信电台的测试诊断问题,通过建立“故障-测试”相关性矩阵,提出了一种GADPSO算法与最大诊断信息量准则结合进行通信电台故障诊断的方法.GADPSO算法收敛速度快、计算精度高,既避免了陷入局部最优和早熟收敛,又提高了优化效率；最大诊断信息量准则能全面评判测试点,快速有效地获得测试顺序.该方法为通信电台故障诊断提供了一种高效诊断策略.