A Real Time Intelligent Fault Diagnosis System of pH Process

摘要：

The fault diagnosis system of a pH neutralization process is developed using the hybrid approach of NeurOn-Line neural networks application and G2 real-time knowledge based intelligent expert system building technique. Firstly, a brief description and modeling of the pH neutralization process is presented. Then the fault diagnosis system is designed and programmed in detail in the NeurOn-Line and G2 environment. Normal operation mode and three fault operation modes of the pH neutralization process including pH sensor biased high, pH sensor biased low, and base reagent diluted is simulated and diagnosed. Simulation results demonstrate that these normal and fault operation modes can be quickly and accurately classified.

关键词： real time intelligent system fault diagnosis pH neutralization process neural networks classification

作者: Zou Zhiyun Ma Jidong Yu Luping Feng Wenqiang Guo Ning Yu Dehong

作者单位: School of Mechanical Engineering,Xi’an Jiaotong University,Xi’an,710049 Beijing Research Institute of Pharmaceutical Chemistry,P.O.Box 1043,Beijing 102205

会议类型: 国际会议

会议名称: 第四届亚洲过程系统工程会议暨2007年中国国际系统工程年会(The 4th International Symposium on Design,Operation & Control of Chemical Processes)(PSE ASIA 2007)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-15（万方平台首次上网日期，不代表论文的发表时间）