The Accident Automatic Diagnosis of Power Plant Based on Rule-based Reasoning and Genetic Neural Network

摘要：

Neural network has many particular merits such as error tolerating, association of ideas, deduction, memory,self-adaptability, self-study and dealing with complicated nonlinearity patterns. Therefore, it is widely used in the fields of fault diagnosis, but it also has a few obvious defects. In order to overcome these deficiencies, this paper tries to combine rule-based reasoning and genetic neural network, and this integrated diagnostic method takes advantages of the knowledge of field expert and the merits of neural network. The author uses positive analysis in order to reach expected diagnostic effect.

关键词： Accident diagnosis rule-based reasoning genetic algorithm neural network

作者: Jingguo Liang Bo Shi Baoguo Na

作者单位: School of Economics and Management Harbin Engineering University

会议类型: 国际会议

会议名称: The Second International Workshop on Information Systems for Crisis Response and Management(ISCRAM CHINA 2007)(第二届国际危机响应与管理信息系统中国研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 518-523

在线出版日期: 2007-08-26（万方平台首次上网日期，不代表论文的发表时间）