INTEGRATED DISTRIBUTED INTELLIGENT SYSTEM ARCHITECTURE FOR INCIDENTS MONITORING AND DIAGNOSIS

Fault diagnosis based on artificial intelligence (AI) technology is a significant domain of AI applications. Hazardous accidents and equipme nt failures always result in environmental pollution and poor product quality, and jeopardize the safety of equipment and human resources. A s a result, accidents cost money, decrease productivity and profits. I n this article, a generic integrated distributed intelligent system ar chitecture for equipment monitoring, fault diagnosis and maintenance i s discussed. The architecture consists of four individual modules: dat a calibration, condition monitoring, fault diagnosis, and maintenance assistance. It integrates different AI techniques such as heuristic re asoning, case-based reasoning and hypermedia. An industrial applicatio n using the architecture is presented. (C) 1998 Elsevier Science B.V. All rights reserved.