Graphs and algorithms
A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
System identification: theory for the user
System identification: theory for the user
Artificial Intelligence
Theoretical problems in man-machine systems and their experimental validation
Automatica (Journal of IFAC)
Model-based causal reasoning for process supervision
Automatica (Journal of IFAC)
Qualitative analysis for decision making in supervision of industrial continuous processes
Mathematics and Computers in Simulation - Special issue: 3rd IMACS international workshop on qualitative reasoning and decision support systems
Towards a cognitive approach to human-machine cooperation in dynamic situations
International Journal of Human-Computer Studies
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
Information Processing and Human-Machine Interaction: An Approach to Cognitive Engineering
A Supervision Support System for Industrial Processes
IEEE Expert: Intelligent Systems and Their Applications
Supervision applied to nuclear fuel reprocessing
AI Communications
Model-based diagnosis using structured system descriptions
Journal of Artificial Intelligence Research
Combining FDI and AI approaches within causal-model-based diagnosis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Diagnosis of continuous valued systems in transient operating regions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Dynamic causal model diagnostic reasoning for online technical process supervision
Automatica (Journal of IFAC)
A Bayesian support tool for morphological design
Advanced Engineering Informatics
Advanced Engineering Informatics
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Artificial intelligence for industrial process supervision
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Progress in root cause and fault propagation analysis of large-scale industrial processes
Journal of Control Science and Engineering
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The work presented in this paper is devoted to intelligent on-line supervision tools. In the proposed approach, the human operator remains in the decision loop, at the highest level, and acts on the process. To help operators make decisions, process knowledge is represented with a model whose complexity can be adapted on line to the operation needs at the request of the operator. The model thus helps to focus only on the phenomena that are relevant at a given time. To give the model explanatory capacity, it is represented as a causal directed graph, and allows the representation of temporal phenomena, which is fundamental for dynamic monitoring. A hierarchical representation of the functional properties of the process is proposed. The conception of a hierarchy of causal models with a top-down analysis is discussed. Path algebra is used to construct a higher-level graph on-line at the request of the operator from the most detailed graph, while conserving the semantics of the latter. No intermediate level is defined a priori; only the highest and lowest level graphs are fixed: the others are constructed dynamically. Finally, a study of how graphs can convey information on the dynamics of the process for approximate temporal reasoning that is largely sufficient for supervision purposes is analyzed. An example of a causal graph hierarchy for a nuclear process illustrates the method. As a final point, the use of such causal graphs in advanced industrial supervision tools is considered.