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Study of Fault Diagnosis of Integrate of D-S Evidence Theory Based on Neural Network for Turbine.
- Source :
- Energy Procedia; Mar2012 Part C, Vol. 16, p2027-2032, 6p
- Publication Year :
- 2012
-
Abstract
- Abstract: A fault diagnosis method of integrate of D-S evidential theory based on neural network was presented for turbine. In this method, preliminary diagnosis of fault information with BP and RBF network constitute the initial diagnosis layer; then, the each result of preliminary diagnosis as a body of evidence are fused under the D-S evidential theory for obtaining diagnostic results. Compared to a single diagnosis method, the simulation results show that the proposed method can effectively diagnose the vibration fault of turbine, can avoid misdiagnosis, and has good application prospects. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 18766102
- Volume :
- 16
- Database :
- Supplemental Index
- Journal :
- Energy Procedia
- Publication Type :
- Academic Journal
- Accession number :
- 73778725
- Full Text :
- https://doi.org/10.1016/j.egypro.2012.01.308