TY - GEN
T1 - Fault diagnosis and isolation in aircraft gas turbine engines
AU - Sarkar, Soumik
AU - Mukherjee, Kushal
AU - Ray, Asok
AU - Yasar, Murat
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2008
Y1 - 2008
N2 - This paper formulates and validates a novel methodology for diagnosis and isolation of incipient faults in aircraft gas turbine engines. In addition to abrupt large faults, the proposed method is capable of detecting and isolating slowly evolving anomalies (i.e., deviations from the nominal behavior), based on analysis of time series data observed from the instrumentation in engine components. The fault diagnosis and isolation (FDI) algorithm is based upon Symbolic Dynamic Filtering (SDF) that has been recently reported in literature and relies on the principles of Symbolic Dynamics, Statistical Pattern Recognition and Information Theory. Validation of the concept is presented and a real life software architecture is proposed based on the simulation model of a generic two-spool turbofan engine for diagnosis and isolation of incipient faults.
AB - This paper formulates and validates a novel methodology for diagnosis and isolation of incipient faults in aircraft gas turbine engines. In addition to abrupt large faults, the proposed method is capable of detecting and isolating slowly evolving anomalies (i.e., deviations from the nominal behavior), based on analysis of time series data observed from the instrumentation in engine components. The fault diagnosis and isolation (FDI) algorithm is based upon Symbolic Dynamic Filtering (SDF) that has been recently reported in literature and relies on the principles of Symbolic Dynamics, Statistical Pattern Recognition and Information Theory. Validation of the concept is presented and a real life software architecture is proposed based on the simulation model of a generic two-spool turbofan engine for diagnosis and isolation of incipient faults.
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U2 - 10.1109/ACC.2008.4586813
DO - 10.1109/ACC.2008.4586813
M3 - Conference contribution
AN - SCOPUS:52449111617
SN - 9781424420797
T3 - Proceedings of the American Control Conference
SP - 2166
EP - 2171
BT - 2008 American Control Conference, ACC
T2 - 2008 American Control Conference, ACC
Y2 - 11 June 2008 through 13 June 2008
ER -