Authors: [tex2html_wrap4438]K. Sandrasegaran, A.S. Malowany
Investigator username: malowany
Category: expert systems
The major bottleneck in the development of such environments has been the acquisition and application of diagnostic knowledge of a chosen device under various faulty conditions. The traditional approach of interviewing human experts for encoding this knowledge is time consuming, may lack co-operation, and the knowledge acquired cannot be applied to other devices and domains. Our research focusses on the automated generation of fault diagnostic knowledge from a description of the structure of a device. The major contributions consist of an integrated knowledge representation methodology for devices, a language for describing device causality, and a meta-knowledge base methodology for automated generation of fault diagnostic knowledge. Most of the terminology and theories used in our methodology is domain-independent, making it applicable for a wide variety of domains and devices with minor modifications.