The consistency-based approach to automated diagnosis of devices
Principles of knowledge representation
Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Alarm Processing and Reconfiguration in Power Distribution Systems
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
IEA/AIE '98 Proceedings of the 11th international conference on Industrial and engineering applications of artificial intelligence and expert systems: methodology and tools in knowledge-based systems
Monitoring and alarm interpretation in industrial environments
AI Communications
Situation recognition: representation and algorithms
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Progress in root cause and fault propagation analysis of large-scale industrial processes
Journal of Control Science and Engineering
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A knowledge-based model for on-line diagnosis of complex dynamic systems is proposed. Domain knowledge is modelled via causal networks which consider temporal relationships among symptoms and causes. Inference and task knowledge is described using the CommonKADS methodology. The main feature of the proposal is that the diagnosis task is able to track the evolution of the system incorporating new symptoms to the diagnosis process. Diagnosis is conceived as a task to be carried out by a supervisory system, which could select the suitable causal network to perform diagnosis, depending on the current system configuration and operation point.