Application of Ant Colony Algorithms in Fault Diagnosis

摘要：

For concluding the difficulty of classing fault sign of equipment automatically in fault diagnosis, this paper presents a new excellent clustering algorithm based on Ant Colony Algorithms (ACA). It is discovered the diagnosis earlier, it is classified fault sign of equipment automatically, and obtain diagnosis knowledge, conclude diagnosis rule, find the reason of fault. All these are in favor of fast, automatic and exact decision-making and dealing with the fault. ACA is applied in the fault diagnosis and recognition, and does pattern recognition for a chemical reactor. Result and the actual operation state are consistent. That can reflect the algorithm accuracy.

关键词： Ant colony algorithms Clustering Fault diagnosis Fault recognition

作者: Jing Chang Guicheng Wang Xuejiao Yin

作者单位: Huanghe Science & Technology College, Zhengzhou 450006, China Shenyang University of Chemical Technology, Shenyang 110142, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 705-709

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）