Sensor fault detection for industrial gas turbine system by using principal component analysis based y-distance indexes

Proceedings of the 2012 8th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2012

Volumn , Issue , 2012, Pages

  Zhang, Y ^a   Bingham, C M ^a   Yang, Z ^a   Gallimore, M ^a   Ling, W K ^a  

^a UNIVERSITY OF LINCOLN   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONALLY EFFICIENT; DATA SETS; EIGEN-VALUE; INDUSTRIAL GAS TURBINES; OPERATIONAL DATA; PRINCIPAL COMPONENT; SENSOR FAULT; SENSOR FAULT DETECTION; SENSOR READINGS; SIEMENS; Z-SCORES;

COMMUNICATION SYSTEMS; DIGITAL SIGNAL PROCESSING; EIGENVALUES AND EIGENFUNCTIONS; GAS TURBINES; GASES; SENSORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84868535426     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSNDSP.2012.6292687     Document Type: Conference Paper

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