Prognosis of vibration condition for large turbo-generator set using artificial neural network

Shuyi Pei; Xiao Li; Liangsheng Qu

doi:10.1117/12.217531

28 August 1995 Prognosis of vibration condition for large turbo-generator set using artificial neural network

Shuyi Pei, Xiao Li, Liangsheng Qu

Author Affiliations +

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.

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Shuyi Pei, Xiao Li, and 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); https://doi.org/10.1117/12.217531

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