An approach for self evolving neural network based algorithm for fault prognosis in wind turbine

2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013

Volumn , Issue , 2013, Pages

  Bangalore, Pramod ^a   Tjernberg, Lina Bertling ^a  

^a CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

Artificial neural networks; condition monitoring; electricity generation; predictive maintenance; SCADA system

Indexed keywords

CONVENTIONAL METHODS; ELECTRICITY GENERATION; EVOLVING NEURAL NETWORK; MAINTENANCE SCHEDULING; OPERATING CONDITION; PREDICTIVE MAINTENANCE; SUPERVISORY CONTROL AND DATAACQUISITION SYSTEMS (SCADA); TRAINING DATA SETS;

ALGORITHMS; AUTOMATION; CONDITION MONITORING; MAINTENANCE; NEURAL NETWORKS; SCADA SYSTEMS;

WIND TURBINES;

EID: 84890864866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2013.6652218     Document Type: Conference Paper

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