Integrated life, vibration and performance monitoring/diagnostics capable of detecting and classifying developing engine faults is critical to reducing engine operating and maintenance costs while optimizing the life of “hot section” engine components (Troudet and Merrill, 1990). Advanced fault pattern recognition and classification techniques utilizing complex finite-element and empirical models of structural and performance related engine areas can now be accessed in a real-time monitoring environment (Dietz et al., 1989). Integration and implementation of these proven technologies presents a great opportunity to significantly enhance current engine health diagnostic capabilities and safely extend engine component life (Ali and Crawford, 1988).
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ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition
June 2–5, 1997
Orlando, Florida, USA
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
978-0-7918-7871-2
PROCEEDINGS PAPER
Real-Time Health Monitoring and Diagnostics for Gas Turbine Engines
Michael J. Roemer,
Michael J. Roemer
Stress Technology Incorporated, Rochester, NY
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Ben Atkinson
Ben Atkinson
Stress Technology Incorporated, Rochester, NY
Search for other works by this author on:
Michael J. Roemer
Stress Technology Incorporated, Rochester, NY
Ben Atkinson
Stress Technology Incorporated, Rochester, NY
Paper No:
97-GT-030, V004T15A007; 8 pages
Published Online:
December 24, 2014
Citation
Roemer, MJ, & Atkinson, B. "Real-Time Health Monitoring and Diagnostics for Gas Turbine Engines." Proceedings of the ASME 1997 International Gas Turbine and Aeroengine Congress and Exhibition. Volume 4: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; IGTI Scholar Award. Orlando, Florida, USA. June 2–5, 1997. V004T15A007. ASME. https://doi.org/10.1115/97-GT-030
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