THE PROGNOSIS OF VIBRATION CONDITION FOR A 200-MW TURBOGENERATOR SET USING ARTIFICIAL NEURAL-NETWORK

Authors
PEI SY LI X QU LS
Citation
Sy. Pei et al., THE PROGNOSIS OF VIBRATION CONDITION FOR A 200-MW TURBOGENERATOR SET USING ARTIFICIAL NEURAL-NETWORK, Insight, 37(1), 1995, pp. 21-24
Citations number
6
Categorie Soggetti
Instument & Instrumentation","Materials Science, Characterization & Testing
Journal title
Insight → ACNP
ISSN journal
13542575
Volume
37
Issue
1
Year of publication
1995
Pages
21 - 24
Database
ISI
SICI code
1354-2575(1995)37:1<21:TPOVCF>2.0.ZU;2-D
Abstract
The prognosis of vibration condition for a turbo-generator set using a rtificial neural networks is introduced in this paper. Its effectivene ss is compared with the traditional prediction method using auto-regre ssive (AR) model. Moreover, a synthetical prediction method based on m ulti-factor inputs is presented. The results indicate that the accurac y of prognosis using neural networks in higher and more effective.