Unsupervised learning and fusion for failure detection in wind turbines

2009 12th International Conference on Information Fusion, FUSION 2009

Volumn , Issue , 2009, Pages 1497-1503

  Ye, Xiang ^a   Veeramachaneni, Kalyan ^a   Yan, Jun ^a   Osadciw, Lisa Ann ^a  

^a Syracuse University   (United States)

Author keywords

Condition monitoring; Data fusion; Failure detection; Multivariate analysis; Weibull distribution

Indexed keywords

AUTOMATED MONITORING; CUMULATIVE DENSITY FUNCTIONS; DEGREE OF ACCURACY; DYNAMIC BEHAVIORS; FAILURE DETECTION; FAILURE DETECTION METHOD; MULTIVARIATE ANALYSIS; POWER PRODUCTION; SECONDARY DEFECT; SHAPE PARAMETERS; SIGNIFICANT IMPACTS; WIND SPEED;

CONDITION MONITORING; DATA FUSION; DECISION MAKING; ENGINES; FAILURE ANALYSIS; FAULT DETECTION; INFORMATION FUSION; MULTIVARIANT ANALYSIS; QUALITY ASSURANCE; TESTING; WIND EFFECTS; WIND POWER; WIND TURBINES;

WEIBULL DISTRIBUTION;

EID: 70449602967     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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