A stochastic automaton approach to discriminate intermittent from permanent faults

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

Volumn 228, Issue 6, 2014, Pages 880-888

  Guanqian, Deng ^a   Jing, Qiu ^a   Guanjun, Liu ^a   Kehong, L V ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

diagnosability; discrete event systems; Fault diagnosis; permanent and intermittent faults; stochastic automaton

Indexed keywords

DISCRETE EVENT SIMULATION; ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FAULT DETECTION; PROBABILITY DISTRIBUTIONS; STOCHASTIC SYSTEMS; STOCHASTIC MODELS;

AIRCRAFT AVIONICS; DIAGNOSABILITY; INTERMITTENT FAULT; MODEL BASED DIAGNOSIS; PERMANENT FAULTS; PROBABILITY MATRIXES; PROGNOSTICS AND HEALTH MANAGEMENTS; STOCHASTIC AUTOMATA; CONVENTIONAL MODELING;

AUTOMATA THEORY; FAULT DETECTION;

EID: 84899069667     PISSN: 09544100     EISSN: 20413025     Source Type: Journal    
DOI: 10.1177/0954410013484664     Document Type: Article

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