Energy and Power Engineering

Volume 1, Issue 1 (August 2009)

ISSN Print: 1949-243X   ISSN Online: 1947-3818

Google-based Impact Factor: 0.66  Citations  

A Novel Real-Time Fault Diagnostic System for Steam Turbine Generator Set by Using Strata Hierarchical Artificial Neural Network

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DOI: 10.4236/epe.2009.11002    6,160 Downloads   11,532 Views  Citations

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ABSTRACT

The real-time fault diagnosis system is very great important for steam turbine generator set due to a serious fault results in a reduced amount of electricity supply in power plant. A novel real-time fault diagnosis system is proposed by using strata hierarchical fuzzy CMAC neural network. A framework of the fault diagnosis system is described. Hierarchical fault diagnostic structure is discussed in detail. The model of a novel fault diagnosis system by using fuzzy CMAC are built and analyzed. A case of the diagnosis is simulated. The results show that the real-time fault diagnostic system is of high accuracy, quick convergence, and high noise rejection. It is also found that this model is feasible in real-time fault diagnosis.

Share and Cite:

C. YAN, H. ZHANG and L. WU, "A Novel Real-Time Fault Diagnostic System for Steam Turbine Generator Set by Using Strata Hierarchical Artificial Neural Network," Energy and Power Engineering, Vol. 1 No. 1, 2009, pp. 7-16. doi: 10.4236/epe.2009.11002.

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