Search Results for svm

...Introduction This chapter presents the results of classification obtained from using SVM for the six different faulty conditions (impeller, bearing, misalignment, imbalance, cavitation, and mechanical looseness) and one non-faulty condition (healthy). As illustrated in Chap. 3, the extracted...

...FIG. 9.1 Detail and approximation decomposed 6 level signals of the 7 pump conditions (db4 mother wavelet). The SVM scheme uses two scenarios; 2 parameters and 60 features; and when the features number was reduced to 30. The effectiveness (sensitivity) of each parameter against all conditions...

... and 0.005 952 38, respectively, as shown in Fig. 10.4 . The best fitness function denotes the best minimized Mean Square Error (MSE). FIG. 10.4 Best score value and mean score vs generation-based MLP-GABP with WPT using 24 normalized approximate features. (a) db4 function and (b) rbio1.5 function. SVM...

... ,” Appl. Sci.   9 ( 8 ), 1561 ( 2019 ). 10.3390/app9081561 Wenyi , L. , Zhenfeng , W. , Jiguang , H. , and Guangfeng , W. , “ Wind turbine fault diagnosis method based on diagonal spectrum and clustering binary tree SVM ,” Renewable Energy   50 , 1 – 6 ( 2013 ). 10.1016...

... and clustering binary tree SVM ,” Renewable Energy   50 , 1 – 6 ( 2013 ). 10.1016/j.renene.2012.06.013 World Robotics , see https://ifr.org/downloads/press2018/Worldwide_Installations_2009_2019_WorldRobotics2020_graph.jpg for “International Federation of Robotics” (accessed 29 October 2020...

... management ( de Freitas Viscondi and Alves-Souza, 2019 ). Various algorithms have been explored to improve solar energy forecasting, including k-means clustering ( Benmouiza and Cheknane, 2013 ), random forest ( Huertas Tato and Centeno Brito, 2018 ; and Liu and Sun, 2019 ), support vector machine (SVM...