Data driven approach for fault detection and diagnosis of turbine in thermal power plant using Independent Component Analysis (ICA)

International Journal of Electrical Power and Energy Systems

Volumn 43, Issue 1, 2012, Pages 728-735

  Ajami, Ali ^a   Daneshvar, Mahdi ^b  

^a AZARBAIJAN SHAHID MADANI UNIVERSITY   (Iran)

^b Engineering and Manufacturing Co (MECO)   (Iran)

Author keywords

Fault detection; Fault diagnosis; High Pressure Steam Turbine (HPST); Independent Component Analysis (ICA); Principal Component Analysis (PCA); Thermal power plant

Indexed keywords

DATA SETS; DATA-DRIVEN APPROACH; FALSE ALARMS; FAULT DETECTION AND DIAGNOSIS; FAULTS DETECTION; HIGH-PRESSURE STEAM; MODEL UNCERTAINTIES; OPERATION CONDITIONS; STATISTICAL SIGNAL PROCESSING; THERMAL POWER PLANTS; TURBINE SYSTEMS;

FAILURE ANALYSIS; FAULT DETECTION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; STEAM TURBINES; THERMOELECTRIC POWER PLANTS; UNCERTAINTY ANALYSIS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84863535616     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2012.06.022     Document Type: Article

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