Neural network approach for a combined performance and mechanical health monitoring of a gas turbine engine
- 29 February 2012
- journal article
- research article
- Published by Elsevier BV in Mechanical Systems and Signal Processing
- Vol. 27, 729-742
- https://doi.org/10.1016/j.ymssp.2011.09.011
Abstract
No abstract availableKeywords
This publication has 5 references indexed in Scilit:
- A Novel Approach for Gas Turbine Condition Monitoring Combining CUSUM Technique and Artificial Neural NetworkPublished by ASME International ,2009
- Gas Turbine Fault Identification by Fusing Vibration Trending and Gas Path AnalysisPublished by ASME International ,2009
- Recent Advancements in Aircraft Engine Health Management (EHM) Technologies and Recommendations for the Next StepPublished by ASME International ,2005
- Gas-turbine diagnostics using artificial neural-networks for a high bypass ratio military turbofan engineApplied Energy, 2004
- Performance Modeling Methodology: Efficiency Definitions for Cooled Single and Multistage TurbinesPublished by ASME International ,2002