Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The use of design descriptions in automated diagnosis
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The FIS Electronics Troubleshooting System
Computer - Special issue on expert systems in engineering
A theory of diagnosis from first principles
Artificial Intelligence
Artificial Intelligence
IEEE Transactions on Systems, Man and Cybernetics - Special issue on artificial intelligence
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Forest ecosystem management via the NED intelligent information system
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
The GA-P: A Genetic Algorithm and Genetic Programming Hybrid
IEEE Expert: Intelligent Systems and Their Applications
| Hi-index | 0.01 |
The Communication Alarm Processor Expert System (CAP), developed at Oak Ridge National Laboratory for the Bonneville Power Administration, is a near real-time system that aids microwave communication system operators with interpreting the cause of large communication system problems [Purucker89]. Problems in the communications network are indicated by the real-time arrival of alarms at the central control site. CAP receives and processes these alarms, then presents the operator with a sorted list indicating the most probable cause (and location) generating the alarms.However, to achieve multiple problem diagnosis a diagnostic strategy is needed that: 1) satisfies the previously defined near real-time processing constraints, 2) “scales up” easily to handle large real-world applications (i.e., applications with more than 50 problems/components), and 3) gives the operator highly reliable information on the current status of the communications network. This paper describes recent successful results of our efforts to develop a general multiple problem (fault) diagnostic strategy that meets these requirements. The CAP system is currently being upgraded to incorporate this new strategy.