Title :
Expert fault diagnosis using rule models with certainty factors for the leaching process
Author :
Wu, Min ; Gui, Weihua ; Shen, Deyao ; Wang, Yalin
Author_Institution :
Dept. of Autom. Control Eng., Central South Univ. of Technol., Changsha, China
Abstract :
A key point in the operation of the leaching process is to ensure the safe running of the process. The paper proposes an expert fault diagnosis strategy for the leaching process, which is based on rule models with certainty factors. A diagnosis procedure is first presented. Then, the rule models are constructed based on empirical knowledge, empirical data and statistical results on past fault countermeasures, and an expert reasoning method is used which employs the rule models and forward chaining. A real-word application is expounded finally
Keywords :
diagnostic expert systems; fault diagnosis; forward chaining; inference mechanisms; intelligent control; mineral processing industry; process control; certainty factors; diagnosis procedure; empirical data; empirical knowledge; expert fault diagnosis; expert reasoning method; leaching process; past fault countermeasures; rule models; statistical results; Ball milling; Chemical processes; Diagnostic expert systems; Fault diagnosis; Iron; Leaching; Lead; Materials science and technology; Temperature; Zinc;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.859956