Condition prediction of hydroturbine generating units using least squares support vector regression with genetic algorithms

• Published in: 2009 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 1037 - 1042
• Main Author: Min Zou
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2009
• Subjects: Condition prediction; Cybernetics; Genetic algorithms; hydroturbine generating units (HGUs); Least squares methods; least squares support vector regression (LSSVR); Machine learning

The least squares support vector regression (LSSVR), a least squares version of standard support vector regression, is applied in condition forecast of hydroturbine generating units (HGUs) by its vibration signal time series in this paper. An effective LSSVR model can only be built under suitable pa...