Enhanced Fault Localization Using Probabilistic Fusion With Gas Path Analysis Algorithms
- 9 June 2009
- journal article
- Published by ASME International in Journal of Engineering for Gas Turbines and Power
- Vol. 131 (5), 051601
- https://doi.org/10.1115/1.3078793
Abstract
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 with a fault 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 (GPA) 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 with previous GPA based methods.Keywords
This publication has 20 references indexed in Scilit:
- The Use of Probabilistic Reasoning to Improve Least Squares Based Gas Path DiagnosticsJournal of Engineering for Gas Turbines and Power, 2006
- Comparison of Linear and Nonlinear Gas Turbine Performance DiagnosticsJournal of Engineering for Gas Turbines and Power, 2005
- Gas turbine component fault detection from a limited number of measurementsProceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2004
- Trend Shift Detection in Jet Engine Gas Path Measurements Using Cascaded Recursive Median Filter With Gradient and Laplacian Edge DetectorJournal of Engineering for Gas Turbines and Power, 2004
- Nonlinear Engine Component Fault Diagnosis From a Limited Number of Measurements Using a Combinatorial ApproachJournal of Engineering for Gas Turbines and Power, 2003
- Interpretation of Weighted-Least-Squares Gas Path Analysis ResultsJournal of Engineering for Gas Turbines and Power, 2003
- Data Rectification and Detection of Trend Shifts in Jet Engine Path Measurements Using Median Filters and Fuzzy LogicJournal of Engineering for Gas Turbines and Power, 2002
- An Assessment of Weighted-Least-Squares-Based Gas Path AnalysisJournal of Engineering for Gas Turbines and Power, 1994
- TEMPER—A Gas-Path Analysis Tool for Commercial Jet EnginesJournal of Engineering for Gas Turbines and Power, 1994
- Adaptive Simulation of Gas Turbine PerformanceJournal of Engineering for Gas Turbines and Power, 1990