Condition trend prediction based on improved echo state network for flue gas turbine
Xiaoli Xu · Journal of Beijing Information Science & Technology University · 2010
Fault prediction is the key technology to ensure safe operation and scientific maintenance of large equipment.As the running of flue gas turbine has nonlinear characteristics,echo state network(ESN) is introduced to predict the condition trend of the turbine.Singular value decomposition is used to improve the linear regression algorithm of ESN,and the prediction workflow is given.Condition trend prediction results show the effectiveness of the proposed method.