A model-based probabilistic inversion framework for characterizing wire fault detection using TDR

IEEE Transactions on Instrumentation and Measurement

Volumn 60, Issue 5, 2011, Pages 1654-1663

  Schuet, Stefan ^a   Timuçin, Doǧan ^a   Wheeler, Kevin ^a  

^a NASA AMES RESEARCH CENTER   (United States)

Author keywords

Bayesian; fault detection; S parameters; time domain reflectometry (TDR); wiring

Indexed keywords

BAYESIAN; ELECTRICAL WIRING; FIELD DEPLOYMENT; HAND HELD DEVICE; HARDWARE DEVELOPMENT; HIGH FIDELITY; INFERENCE ALGORITHM; INTERCONNECT SYSTEMS; LABORATORY USE; MODEL-BASED; MODELING APPROACH; PROBABILISTIC INVERSION; S-PARAMETERS; STANDARD METHOD; TIME DOMAIN REFLECTOMETRY; TIME-DOMAIN REFLECTOMETRY (TDR); UNIFIED FRAMEWORK; WIRE FAULT DETECTION; WIRING;

BAYESIAN NETWORKS; CABLES; FAULT DETECTION; INFERENCE ENGINES; PARAMETER ESTIMATION; REFLECTION; REFLECTOMETERS; SCATTERING PARAMETERS; STANDARDIZATION;

TIME DOMAIN ANALYSIS;

EID: 79953774078     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2011.2105030     Document Type: Conference Paper

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