Fault diagnosis from first principles using model-based expert systems
J. A. G. Knight · 1992
Many humans analyze faults from first principles (sometimes subconsciously) if experiential knowledge is not available. Such analysis is based on an understanding of the functions of the components in a system and the inputs and outputs which pass between them. The paper discusses the issues arising from an investigation into the representation of this understanding in a model-based diagnostic expert system, which has been undertaken by the AI Group of the Royal Mail (Engineering) Research Centre.