Diagnosis, isolation and corrective action of incipient faults in a developmental Aero Gas Turbine Engine, mandates advanced warning of the emerging faults by apt and timely degradation monitoring in order to mitigate catastrophic failure. This calls for cautious performance monitoring during the test runs by instrumenting the engine under test with multiple sensors to acquire the physical parameters like temperature, pressure, flow and speed which are indicative of the engine degradation. Sensor reliability is critical to engine control and performance monitoring. Sensor data which serves as the primary key for assessing the engine behaviour needs to be validated before its use in determining the degradation. Particularly in a developmental engine under test, the accuracy and reliability of measurements creates the basis for understanding the engine behaviour, in order to evaluate its performance. This paper targets to develop validation tool to ensure that only trusted sensor measurements are used for engine performance computation by weeding out the erroneous data. The pre-processing of data to ensure its accuracy also serves as a “need for maintenance indicator” to warn the operator for sensor breakdowns, wearing or deterioration and detect calibration needs. Development and validation of the LabVIEW based “Sensor Data Validation Tool (SDVT)” using the actual test run data constitutes the main body of this paper along with concluding remarks which brings out the validation results and the required maintenance action.
Skip Nav Destination
ASME 2017 Gas Turbine India Conference
December 7–8, 2017
Bangalore, India
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
978-0-7918-5851-6
PROCEEDINGS PAPER
Sensor Data Validation in a Developmental Aero Gas Turbine Engine Available to Purchase
Muthuveerappan Nagalingam
Muthuveerappan Nagalingam
GTRE, Bangalore, India
Search for other works by this author on:
Usha Srinivasan
GTRE, Bangalore, India
Muthuveerappan Nagalingam
GTRE, Bangalore, India
Paper No:
GTINDIA2017-4841, V002T09A002; 9 pages
Published Online:
February 2, 2018
Citation
Srinivasan, U, & Nagalingam, M. "Sensor Data Validation in a Developmental Aero Gas Turbine Engine." Proceedings of the ASME 2017 Gas Turbine India Conference. Volume 2: Structures and Dynamics; Renewable Energy (Solar, Wind); Inlets and Exhausts; Emerging Technologies (Hybrid Electric Propulsion, UAV,..); GT Operation and Maintenance; Materials and Manufacturing (Including Coatings, Composites, CMCs, Additive Manufacturing); Analytics and Digital Solutions for Gas Turbines/Rotating Machinery. Bangalore, India. December 7–8, 2017. V002T09A002. ASME. https://doi.org/10.1115/GTINDIA2017-4841
Download citation file:
59
Views
Related Proceedings Papers
Related Articles
Systematic Evaluation of U.S. Navy LM2500 Gas Turbine Condition
J. Eng. Gas Turbines Power (July,2002)
Component Map Generation of a Gas Turbine Using Genetic Algorithms
J. Eng. Gas Turbines Power (January,2006)
Turbine Efficiency
Measurement System for the QinetiQ Turbine Test
Facility
J. Turbomach (January,2010)
Related Chapters
Expert Systems in Condition Monitoring
Tribology of Mechanical Systems: A Guide to Present and Future Technologies
Constructing Dynamic Event Trees from Markov Models (PSAM-0369)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Introduction
Fluid Mechanics, Water Hammer, Dynamic Stresses, and Piping Design