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Model-Based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem

Louise Travé-Massuyès, Teresa Escobet, Robert Milne
IJCAI 2001 pp. 551-556
/ijcai/2001/travemassuyes2001ijcai-model/

Abstract

This paper presents a methodology for: assessing the degree of diagnosability of a system, i.e. given a set of sensors, which faults can be discriminated? and; characterising and determining the minimal additional sensors which guarantee a specified degree of diagnosability. This method has been applied to several subsystems of a Ge neral Electric Frame 6 gas turbine owned by a major UK utility.

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Cite

Text

Travé-Massuyès et al. "Model-Based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem." International Joint Conference on Artificial Intelligence, 2001.

Markdown

[Travé-Massuyès et al. "Model-Based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem." International Joint Conference on Artificial Intelligence, 2001.](https://mlanthology.org/ijcai/2001/travemassuyes2001ijcai-model/)

BibTeX

@inproceedings{travemassuyes2001ijcai-model,
  title     = {{Model-Based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem}},
  author    = {Travé-Massuyès, Louise and Escobet, Teresa and Milne, Robert},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2001},
  pages     = {551-556},
  url       = {https://mlanthology.org/ijcai/2001/travemassuyes2001ijcai-model/}
}