冶金动力Issue(11)：1-4,4.
模式识别在电解铝生产过程故障诊断中的应用
Application of Pattern Recognition in Fault Diagnosis of Electrolytic Aluminum Production Process
刘国敏 1高文 2樊联 2张传标2
作者信息
- 1. 南京南瑞集团公司，江苏南京 210003
- 2. 国电南瑞科技股份有限公司，江苏南京 210061
- 折叠
摘要
Abstract
In order to improve the safety and reliability of electrolytic aluminum pro-duction process, pattern recognition method of fuzzy theory and neural network was applied in fault diagnosis of electrolytic aluminum production. Data on system state were calculated and normalized using fuzzy membership functions to obtain abnormal state values, and then the calculated values were put into a neural network fault diagnosis to realize fault diagnosis and alarming during production, which improved the intelligent level of production process. At last, the validity and accuracy of the diagnosis methods were verified by simulation experiment.关键词
电解铝/模式识别/模糊隶属度函数/神经网络Key words
electrolytic aluminum/pattern recognition/fuzzy membership functions/neu-ral network分类
信息技术与安全科学引用本文复制引用
刘国敏,高文,樊联,张传标..模式识别在电解铝生产过程故障诊断中的应用[J].冶金动力,2013,(11):1-4,4.
