FICA-PNN Fault Diagnosis for Penicillin Fermentation Process

摘要：

A novel ensemble approach based on fast independent component analysis and probabilistic neural network (FICA-PNN)is presented to diagnose faults in the fed-batch penicillin fermentation process.FICA is used to extract fastly the information of a non-Gaussian process.PNN is used as a classifier for diagnosing faults.The experimental results clearly demonstrate that the proposed approach is faster and more efficient and has higher accuracy rate compared to conventional fault diagnosis approaches.

作者: YANG Qing YAO Jingtang ZHANG Xu CHAO Xiaojie

作者单位: School of Information Science and Engineering,Shenyang Ligong University,Shenyang 110159,P.R.China C School of Information Science and Engineering,Shenyang Ligong University,Shenyang 110159,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）