Fault diagnosis for a class of nonlinear digital sensors based on output tracking

International Journal of Innovative Computing, Information and Control

Volumn 8, Issue 12, 2012, Pages 8473-8485

  Deng, Fang ^a   Chen, Jie ^a   Xu, Lishuang ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Fault diagnosis; Improved UKF; MAA; Sensors

Indexed keywords

DIGITAL SENSORS; FAILURE CHARACTERISTICS; FAULT DIAGNOSIS METHOD; FIRST DERIVATIVE; IMPROVED UKF; MAA; MANEUVERING TARGET TRACKING; MANEUVERING TARGETS; NORMAL CONDITION; OUTPUT SIGNAL; OUTPUT-TRACKING; PHYSICAL LIMITATIONS; REAL APPLICATIONS; SAMPLING CONDITIONS; SECOND DERIVATIVES; SENSOR FAULT DIAGNOSIS; SYSTEM MODELS; UNSCENTED KALMAN FILTER;

COMPUTATIONAL METHODS; COMPUTER APPLICATIONS; FAILURE ANALYSIS;

SENSORS;

EID: 84870283998     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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