Causal Modeling for Supervision
نویسندگان
چکیده
Today, process control and monitoring are evolving to include plant safety and availability management, on-line diagnosis and maintenance policy. Human operators are at the highest hierarchical level in the organization of the control system. Supervision aims are to assist control operators in their decisionmaking tasks, to help them understand and identify operating situations underway in a man-machine cooperation objective. This paper demonstrates how recent developments in causal reasoning can contribute judiciously to the supervision problematic. An original causal modeling that includes time management is described and used for simulation, explanation and diagnosis.
منابع مشابه
Inductive Generation of Diagnostic Knowledge for rhutonomous Assembly - Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
A generic architecture for evolutive supervision of robotized assembly tasks is presented. This architecture provides, at different levels of abstraction, functions for dispatching actions, monitoring their execution, and diagnosing and recovering from failures. Modeling execution failures through taxonomies and causal networks plays a central role in diagnosis and recovery. Through the use of ...
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