The prognosis of vibration condition for a 200 MW turbo-generator set using artificial neural network

摘要

The prognosis of vibration condition for a turbo-generator set using artificial neural networks is introduced in this paper. Its effectiveness is compared with the traditional prediction method using auto-regressive (AR) model. Moreover, a synthetical prediction method based on multi-factor inputs is presented. The results indicate that the accuracy of prognosis using neural networks is higher and more effective.