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| 基于蚁群算法的复杂系统多故障状态的决策 | |
| 引用本文： | 覃方君,田蔚风,李安,卞鸿巍.基于蚁群算法的复杂系统多故障状态的决策[J].中国惯性技术学报,2004,12(4):12-15. |
| 作者姓名： | 覃方君 田蔚风 李安 卞鸿巍 |
| 作者单位： | 1. 上海交通大学信息检测技术与仪器系,上海,200030;海军工程大学电气工程系,武汉,430033 2. 上海交通大学信息检测技术与仪器系,上海,200030 3. 海军工程大学电气工程系,武汉430033 |
| 摘 要： | 故障树在设备的故障诊断中被广泛应用。当系统复杂度较大时,故障模式和故障树的分支会剧烈增加,故障现象和故障原因因此出现复杂关系,这必然给故障检测和诊断推理带来极大的困难。在故障诊断中引入一种新的人工智能方法,即蚁群算法,可以确定故障树的最优检测次序,并指导系统多故障状态的决策。由于该方法具有平行性、鲁棒性等特点,可以很好地解决前面所提问题。仿真结果显示,在故障树中采用该新方法可行、有效。 |
| 关 键 词： | 故障诊断 故障树 蚁群算法 最优检测次序 |
| 文章编号： | 1005-6734(2004)04-0012-04 |
| 修稿时间： | 2004年5月19日 |
Decision-making in Multi-fault State Complex System Based on Ant Colony Algorithm |
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| QIN Fang-jun ,TIAN Wei-feng,LI An ,BIAN Hong-wei.Decision-making in Multi-fault State Complex System Based on Ant Colony Algorithm[J].Journal of Chinese Inertial Technology,2004,12(4):12-15. | |
| Authors: | QIN Fang-jun TIAN Wei-feng LI An BIAN Hong-wei |
| Institution: | QIN Fang-jun 1,2,TIAN Wei-feng1,LI An 2,BIAN Hong-wei1 |
| Abstract: | Fault-tree technology is widely used in fault diagnosis field. But in the case of big and complex system, fault patterns and tree branches would be increased greatly. As a result, the relationships between fault phenomena and fault reasons will become complex. This brings big trouble for the process of diagnosis. To tackle this problem, a new intelligent algorithm called ant colony algorithm is introduced. With its outstanding characters of algorithm, the optimal test sequence can be achieved. |
| Keywords: | fault diagnosis fault tree ant colony algorithm optimal test sequence |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |