28 August 1995 Prognosis of vibration condition for large turbo-generator set using artificial neural network
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Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217531
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
Abstract
The prognosis of vibration condition for a turbo-generator set using artificial neural networks is raised 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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shuyi Pei, Xiao Li, Liangsheng Qu, "Prognosis of vibration condition for large turbo-generator set using artificial neural network", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217531; https://doi.org/10.1117/12.217531
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