---
title: "Model-based Diagnosability and Sensor Placement Application to a Frame 6 Gas Turbine Subsystem"
authors:
  - "Louise Travé-Massuyès"
  - "Teresa Escobet"
  - "Robert Milne"
doi: ""
url: "https://ijcai.org/proceedings/2001/77"
pdf: "https://ijcai.org/proceedings/2001/0077.pdf"
venue: "Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence"
year: 2001
pages: "551-555"
track: ""
keywords:
---

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

Louise Travé-Massuyès, Teresa Escobet, Robert Milne

*Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence*, pages 551-555.

## 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 subsys tems of a Ge neral Electric Frame 6 gas turbine owned by a major UK utility.