Artificial Intelligence Approaches to Monitoring System Integrity,
Abstract
This paper introduces the concept of artificial intelligence-based (expert) systems for enhancing system availability through system integrity monitoring and system diagnosis. Such expert systems use knowledge and inference mechanisms to solve problems which would ordinarily require the expertise of the best human practitioners in the field. The paper demonstrates the seriousness of failure and explains why several traditional methods of ensuring system availability, reliability, and maintainability fail in certain important cases, e.g., intermittent failures. An outline of the human diagnostic problem-solving process is presented with a computational analog. A symptom-based expert diagnostic system(*) is introduced with its early and successful results in fault prediction. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1984
- Accession Number
- ADP003930
Entities
People
- R. A. Maxion
Organizations
- University of Colorado Boulder