TY - GEN
T1 - Adjustment and validation of monitoring system algorithms on the simulated historical data of an aircraft engine fleet
AU - Loboda, Igor
AU - Pineda Molina, Victor Manuel
AU - Pérez-Ruiz, Juan Luis
N1 - Publisher Copyright:
© 2021 American Society of Mechanical Engineers (ASME). All rights reserved.
PY - 2021
Y1 - 2021
N2 - In the field of gas turbine diagnostics, a significant gap is observed between the variety of proposed and investigated diagnostic solutions and a narrow group of algorithms employed in real monitoring systems. One of the explanations is that diagnostic algorithms of a monitoring system (system components) are usually developed and verified separately from each other. An additional explanation is related to simplified simulated data used to verify the algorithms. The present paper aims to adjust and validate the joint operation of the algorithms of a gas turbine monitoring system during the whole lifetime. The software tool called the Propulsion Diagnostic Method Evaluation Strategy (ProDiMES) provides the input data. This tool realistically simulates the steady-state parameters of an aircraft engine fleet. The simulation embraces a total engine life and includes different variations of deterioration and various engine, actuator, and sensor faults. Using ProDiMES, some diagnostic solutions have been verified so far. However, they do not include all necessary monitoring system components, use a short fixedtime interval of input data, and do not analyze long-Term deterioration. In contrast, this paper presents an attempt to enhance a whole diagnostic process. It considers the operation of various data-driven algorithms of a monitoring system during engine life. The paper focuses on the tuning of the algorithms themselves and adjustment of their interactions.
AB - In the field of gas turbine diagnostics, a significant gap is observed between the variety of proposed and investigated diagnostic solutions and a narrow group of algorithms employed in real monitoring systems. One of the explanations is that diagnostic algorithms of a monitoring system (system components) are usually developed and verified separately from each other. An additional explanation is related to simplified simulated data used to verify the algorithms. The present paper aims to adjust and validate the joint operation of the algorithms of a gas turbine monitoring system during the whole lifetime. The software tool called the Propulsion Diagnostic Method Evaluation Strategy (ProDiMES) provides the input data. This tool realistically simulates the steady-state parameters of an aircraft engine fleet. The simulation embraces a total engine life and includes different variations of deterioration and various engine, actuator, and sensor faults. Using ProDiMES, some diagnostic solutions have been verified so far. However, they do not include all necessary monitoring system components, use a short fixedtime interval of input data, and do not analyze long-Term deterioration. In contrast, this paper presents an attempt to enhance a whole diagnostic process. It considers the operation of various data-driven algorithms of a monitoring system during engine life. The paper focuses on the tuning of the algorithms themselves and adjustment of their interactions.
UR - http://www.scopus.com/inward/record.url?scp=85115442634&partnerID=8YFLogxK
U2 - 10.1115/GT2021-60020
DO - 10.1115/GT2021-60020
M3 - Contribución a la conferencia
AN - SCOPUS:85115442634
T3 - Proceedings of the ASME Turbo Expo
BT - Controls, Diagnostics, and Instrumentation; Cycle Innovations; Cycle Innovations
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition, GT 2021
Y2 - 7 June 2021 through 11 June 2021
ER -