Fault detection and isolation in aircraft gas turbine engines. Part 1: Underlying concept

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Volumn 222, Issue 3, 2008, Pages 307-318

  Gupta, S ^a   Ray, A ^a   Sarkar, S ^a   Yasar, M ^a,b  

^a The Pennsylvania State University   (United States)

^b TECHNO SCIENCES INC   (United States)

Author keywords

Aircraft propulsion; Fault detection and isolation; Gas turbine engines; Statistical pattern recognition

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; AIRCRAFT; AIRCRAFT ENGINES; ALGORITHMS; COMPUTER NETWORKS; DEGRADATION; DYNAMICAL SYSTEMS; DYNAMICS; ELECTRIC FAULT CURRENTS; ELECTRIC GENERATORS; ENGINES; EQUIPMENT TESTING; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; FILTRATION; FINANCIAL DATA PROCESSING; GAS ENGINES; GAS TURBINE POWER PLANTS; GAS TURBINES; INFORMATION SCIENCE; INFORMATION THEORY; LARGE SCALE SYSTEMS; MATHEMATICAL MODELS; MECHANICS; MICROFLUIDICS; MONITORING; PAPER; PATTERN RECOGNITION; RESPONSE TIME (COMPUTER SYSTEMS); SULFATE MINERALS; TIME SERIES ANALYSIS; TURBINES; TURBOMACHINERY;

(E ,2E) THEORY; AIRCRAFT GAS TURBINE ENGINES; AIRCRAFT OPERATIONS; COMPLEX DYNAMICAL SYSTEMS; COMPLEX SYSTEMS; CRITICAL COMPONENTS; DYNAMIC FILTERING; ENGINE COMPONENTS; ENGINE MODELING; FAULT DETECTION AND ISOLATION (FDI); FAULT ISOLATION; INCIPIENT FAULTS; INDIVIDUAL COMPONENTS; INPUT/OUTPUT (I/O); NOVEL METHODOLOGY; PROCESS VARIABLES (PV); SIMULATION TESTED; STATISTICAL PATTERN RECOGNITION; SYMBOLIC DYNAMICS; TIME SERIES DATA;

FAULT DETECTION;

EID: 45749141186     PISSN: 09544100     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544100JAERO311     Document Type: Article

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