Abstract
Measurements are essentially the backbone which needs to exist, function as desired with minimal drift, reasonable accuracy, and maximum consistency in order to manage the herculean task of a complex aero engine development. To this effect, it becomes a primary concern to validate the measurement from all angles prior to its usage or rejection. This paper aims to apply the various single data validation techniques to assess the overall confidence level of the measured sensor data which is the minimum of all the individually calculated confidence levels. Based on overall confidence level, the health of the sensor is interpreted which serves as the basis for taking managerial decisions on reuse or calibration or rejection of a sensor.
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References
Romesis C (2013) Condition-based maintenance for gas turbine plants. Laboratory of Thermal Turbomachines, National Technical University of Athens, Greece; Yi-Guang Li, Department of Power and Propulsion, Cranefield University, Bedford, England
Quevedo J, Puig V, Cuguero MA, Garcia D, Eliades D, Panayiotou C, Polycarpou M, Lambrou T (2013 June) Sensor data validation and reconstruction. EFFINET
Srinivasan U, Nagalingam M (2017) Sensor data validation in a developmental aero gas turbine engine; GT India 2017-4841; 5th ASME Gas Turbine India Conference, Bangalore
Taware AV, Teng F, Tanpitukpongse PT (2008) System and method for sensor data validation; DE (US), 2008, Patent No: US 7,346,469,B2
Liu L, Liu D, Zhang Y, Peng Y (2006) Effective sensor selection and data anomaly detection for condition monitoring of aircraft engines; Department of Automation Measurement and Control, Harbin Institute of Technology, Harbin 150001, China
Lynggaard-Jensen A, Hansen HP, Brodersen E (2013) Real time data validation Methodology guidelines, comments, examples of application and prototype software tool for on-line (RTC) data validation; report number 2013.007
Näsi J, Sorsa A (2004, December) On-line measurement validation through confidence level based optimal estimation of a process variable. University of Oulu; Control Engineering Laboratory; Report A No 25
Tsang KM, Chan WL (2010) Data validation of intelligent sensors using predictive filters and fuzzy logic. Sens Actuators A J Paper 159(2010):149–156 (Elsevier)
Csank JT, Simon DL (2013) Sensor data qualification technique applied to gas turbine engines. National Aeronautics and Space Administration; Glenn Research Center; Cleveland, Ohio 44135; NASA/TM–2013-216609
https://www.macalester.edu/~kaplan/Resampling/PDF/chap2.pdf; Chapter 2: making statements with precision: Confidence intervals
Fuzzy Logic Method for adaptively evaluating the validity of sensor data; US 6898585 B2
https://blog.3dcs.com/what-is-a-confidence-interval-and-why-is-it-important
Acknowledgements
The author is extremely grateful to Director GTRE for permitting to present this effort. The author is pleased with the continual motivational support extended by Shri. Sreelal Sreedhar, Sc “H” (AD(R and QA)), Smt. Banumathy K., Sc “G” and Miss. Sonal Shekhawat, JRF, in pursuing this activity.
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Srinivasan, U., Sudhindra, K.R., Muthuveerappan, N. (2021). Confidence Level Assessment of a Measured Parameter in Complex Computational Dependent Aero Engine Platform. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_17
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DOI: https://doi.org/10.1007/978-981-15-8221-9_17
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