Fault Diagnosis Expert System using Neural Networks for Roasting Process

Authors:	Yan Ai-jun, Northeastern University, China Wu Feng-hua, Northeastern University, China Chai Tian-you, Northeastern University, China
Topic:	6.2 Mining, Mineral & Metal Processing
Session:	Technology in Mining and Metal Processing Industry
Keywords:	Shaft Furnace; Fault Diagnosis; Neural Networks; Expert Systems; Case-Based Reasoning

Abstract

An intelligent fault diagnosis system integrating neural networks, expert system and case-based reasoning technology is established for the roasting process of shaft furnace in hematite ores processing of China. The structure, function, and realization methods of the proposed system are presented. The proposed system has been successfully applied to the roasting process of shaft furnace in the biggest hematite ores processing factory of China. The industrial application shows the effectiveness of proposed system for the fault diagnosis of the roasting process of shaft furnace and its potential future in the complex industrial process.