A method for gas turbine fault identification from gas path data, in situations with a limited number of measurements, is presented. The method consists of a two stage process: (a) localization of the component or group of components where the fault is located and (b) fault identification, by determining the precise location and magnitude of component performance deviations. The paper focuses on methods that allow improved localization of the faulty components. Gas path analysis algorithms are applied to diagnostic sets comprising different combinations of engine components. The results are used to derive fault probabilities, which are then fused to derive a conclusion as to the location of a fault. Once the set of possible faulty components is determined, a well defined diagnostic problem is formulated and the faulty parameters are determined by means of a suitable algorithm. It is demonstrated that the method has an improved effectiveness when compared to previous GPA based methods.
- International Gas Turbine Institute
Enhanced Fault Localization Using Probabilistic Fusion With Gas Path Analysis Algorithms
- Views Icon Views
- Share Icon Share
- Search Site
Kyriazis, A, & Mathioudakis, K. "Enhanced Fault Localization Using Probabilistic Fusion With Gas Path Analysis Algorithms." Proceedings of the ASME Turbo Expo 2008: Power for Land, Sea, and Air. Volume 2: Controls, Diagnostics and Instrumentation; Cycle Innovations; Electric Power. Berlin, Germany. June 9–13, 2008. pp. 239-247. ASME. https://doi.org/10.1115/GT2008-51079
Download citation file: