Fast diagnosis with sensors of uncertain quality

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 4, 2008, Pages 1157-1165

  Erdinc, Ozgur ^a   Brideau, Craig ^a   Willett, Peter ^a   Kirubarajan, T ^b  

^a University of Connecticut   (United States)

^b MCMASTER UNIVERSITY   (Canada)

Author keywords

Condition monitoring; Fault diagnosis; Machine health testing; Multihypothesis tracker (MHT); System testing

Indexed keywords

ALARM SYSTEMS; CHLORINE COMPOUNDS; ERROR DETECTION; ERRORS; ESTIMATION; HEALTH; INFERENCE ENGINES; LEARNING SYSTEMS; MATHEMATICAL PROGRAMMING; PHILOSOPHICAL ASPECTS; PROBABILITY DISTRIBUTIONS; REINFORCEMENT; REINFORCEMENT LEARNING; SENSORS; SYSTEMS ENGINEERING; TESTING;

A-PRIORI; BETA PRIOR DISTRIBUTION; COMPLEXITY MANAGEMENT; COMPONENT FAILURES; CONDITION MONITORING; ERROR RATE; ERROR RATES; FALSE ALARMS; FAULT DIAGNOSIS; LARGE-SCALE SYSTEMS; MACHINE HEALTH TESTING; MULTIHYPOTHESIS TRACKER (MHT); MULTIPLE SENSORS; OBSERVATION VECTORS; OF SENSORS; QUICKEST DETECTION; REAL SYSTEMS; REAL TIME; SENSOR ERRORS; STATE ESTIMATORS; SYSTEM TESTING; TEST RESULTS;

ERROR ANALYSIS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; EQUIPMENT; INSTRUMENTATION; LETTER; METHODOLOGY; TRANSDUCER;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; EQUIPMENT FAILURE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; TRANSDUCERS;

EID: 49049103550     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.924585     Document Type: Article

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