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基于遗传算法的自动驾驶仪测试性分析
引用本文:邵俊宇,张宏军,吴振锋,梁旗.基于遗传算法的自动驾驶仪测试性分析[J].应用声学,2015,23(5):1467-1469.
作者姓名:邵俊宇  张宏军  吴振锋  梁旗
作者单位:上海机电工程研究所,上海机电工程研究所,上海机电工程研究所,上海机电工程研究所
摘    要:为了提高自动驾驶仪故障测试与诊断的快速性与准确性,提出了一种基于遗传算法的自动驾驶仪测试性分析方法;此方法解决了遗传算法应用于测试项目选择的难点,构建了最优的故障测试策略,能以最短时间完成测试并满足测试覆盖性的要求;利用故障测试获得的知识,简化故障与测试间的相关性矩阵,加快了故障诊断的速度;最终获得了故障测试与诊断一体化的方法;实验结果表明,此方法有效提高了故障测试与诊断的速度,并且易于实现。

关 键 词:遗传算法  自动驾驶仪  故障测试  故障诊断

Analysis of Autopilot Testability Based on Genetic Algorithm
Zhang Hongjun,Wu Zhenfeng and Liang Qi.Analysis of Autopilot Testability Based on Genetic Algorithm[J].Applied Acoustics,2015,23(5):1467-1469.
Authors:Zhang Hongjun  Wu Zhenfeng and Liang Qi
Institution:Shanghai Eletro-Mechanical Engineering Institute,Shanghai Eletro-Mechanical Engineering Institute,Shanghai Eletro-Mechanical Engineering Institute,Shanghai Eletro-Mechanical Engineering Institute
Abstract:In order to improve the efficiency and accuracy of fault test and diagnosis on autopilot, a method based on the genetic algorithm was put forward to analysis the testability of autopilot. This method solved the problem on how to make genetic algorithm apply to the selection of test items, and could get the best fault test strategy. The strategy could finish test in the shortest time and meet the requirement of test coverage. Then the knowledge got from fault test could be used to simplify the dependency matrix between failure and test, so the diagnosis speed was increased. Finally a method which was combination of fault test and diagnosis was got. The experiment result shows that the method can increase the speed of fault test and diagnosis. At the same time, the method is easy to use.
Keywords:genetic algorithm  autopilot  fault test  fault diagnosis
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