Bayesian Networks in Electric Reliability Assessment of Doubly-Fed Wind Turbine Generator

Hai Ning Pan; Ming Qin; Jun Zhang; Chao Chang; Pan Lei

doi:10.4028/www.scientific.net/AMM.494-495.1791

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The Summarization of Fault Line Selection of Small Current Grounding System
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A Substation DC System Grounding Fault Analysis and Processing
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 494-495Bayesian Networks in Electric Reliability...

Bayesian Networks in Electric Reliability Assessment of Doubly-Fed Wind Turbine Generator

Abstract:

For the development of large wind turbines, the approach of trial and error is also not adequate for mass produced wind turbines, a reliability-concerned manufacturing must be involved for the future development. An approach which introduces probabilistic reliability assessment which incorporates reliability methods into wind turbine engineering is described. Fault Tree of wind turbine generators electrical components is firstly built. Then it is transformed to the Bayesian network and probabilistic distribution is preceded using Markov chain Monte Carlo inference. Finally a set of qualitative and quantitative reliability is given according to a specific probabilistic input.

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Periodical:

Applied Mechanics and Materials (Volumes 494-495)

Pages:

1791-1794

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.494-495.1791

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Online since:

February 2014

Authors:

Hai Ning Pan*, Ming Qin, Jun Zhang, Chao Chang, Pan Lei

Keywords:

Bayesian Network (BN), Fault Tree, Reliability Assessment, Wind Turbine Generator

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