...Anoop Verma; Zijun Zhang; Andrew Kusiak Table 9 Performance of data-mining algorithms on training set (model 1) No Average acceleration in ring gear (observed) Average acceleration in ring gear (predicted) Correlation coefficient MAE MRE (%) NN1 0.01046 0.010402...

...Andrew Kusiak; Anoop Verma This paper presents the application of data-mining techniques for identification and prediction of status patterns in wind turbines. Early prediction of status patterns benefits turbine maintenance by indicating the deterioration of components. An association rule mining...

... the impact importance of measurable turbine parameters on the vibrations of the drive train and the tower are discussed. They include the predictor importance analysis, the global sensitivity analysis, and the correlation coefficient analysis versed in data mining and statistics. To decouple the impact...

...Haiyang Zheng; Andrew Kusiak In this paper, multivariate time series models were built to predict the power ramp rates of a wind farm. The power changes were predicted at 10 min intervals. Multivariate time series models were built with data-mining algorithms. Five different data-mining algorithms...

...Henryk Maciejewski; Loreto Valenzuela; Manuel Berenguel; Jesús Fernández-Reche; Konrad Adamus; Michal Jarnicki This work is devoted to application of data mining methods for monitoring of state of a solar thermal plant. The methods discussed are illustrated by example of a study performed...