An Integrated PHM Approach for Gas Turbine Engines

The prognosis & health management (PHM) of aerospace components is a very complex system. A complete PHM system involves sensors, signal processing, condition monitoring, health assessment, physical reasoning and decision-making. Such an integrated approach to prognostics involves physics-based...

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Bibliographic Details
Main Authors: Patnaik, A.R., Narasimhan, V., Nayak, A., Patnaik, P.C.
Format: Conference Proceeding
Language:English
Subjects:
Aerospace components
Condition monitoring
Decision making
Engines
Fuzzy logic
Neural networks
Prognostics and health management
Sensor systems
Signal processing
Turbines
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Summary:The prognosis & health management (PHM) of aerospace components is a very complex system. A complete PHM system involves sensors, signal processing, condition monitoring, health assessment, physical reasoning and decision-making. Such an integrated approach to prognostics involves physics-based modelling, experience-based modelling and modelling based on the statistical properties of the components by using neural network and fuzzy logic techniques. In this paper, we give an overview of the PHM system currently being developed
ISSN:0840-7789
DOI:10.1109/CCECE.2006.277288