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

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available