Can I read Pind 2010 05 013 on EtoBox?
Pind 2010 05 013 by m.parwin22 is a document available to read on EtoBox.
What is Pind 2010 05 013 about?
This document discusses the application of a support vector machines (SVM) based model for fault detection in thermal power plants, focusing on turbine failures. The proposed model integrates dimension reduction techniques to enhance classification performance, demonstrating superiority over traditional methods like linear discriminant analysis and back-propagation neural networks. A real case study from a thermal power plant in Taiwan is provided to validate the effectiveness of the SVM model in improving
- Author
- m.parwin22
- Language
- EN