Abstract
The TIGER system is in continuous use on over 20 gas turbines across four continents, performing fault diagnosis of industrial gas turbines used for power generation. TIGER receives several hundred data inputs at a once per second interval and performs several layers of fault detection and diagnosis using expert system techniques in a temporal reasoning rulebase.
Development of the system has now extended for more than six years and more than 80 man-years. The diagnostics are supported by an extensive user interface, data archive, trending and display system. Across the 20+ current locations, TIGER has helped to identify and diagnose over 700 incidents representing 200 different fault categories. Because of the high value of gas turbines and the high expenses in operating them, TIGER’s benefit is considerable and has been documented at $150,000 or more for most of the locations.
This paper gives a summary as TiGER is today, the benefits to many of the sites and an overview of the recently added model based diagnosis module, Ca~En.
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Milne, R., Nicol, C., Travé-Massuyès, L. (2001). Tiger with Model Based Diagnosis: Initial Deployment. In: Macintosh, A., Moulton, M., Coenen, F. (eds) Applications and Innovations in Intelligent Systems VIII. Springer, London. https://doi.org/10.1007/978-1-4471-0275-5_14
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DOI: https://doi.org/10.1007/978-1-4471-0275-5_14
Publisher Name: Springer, London
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