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Computation of Reliability and Birnbaum Importance of Components of a Wind Turbine at High Uncertain Wind

by T. Sunder Selwyn, Dr. R. Kesavan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 32 - Number 4
Year of Publication: 2011
Authors: T. Sunder Selwyn, Dr. R. Kesavan
10.5120/3896-5459

T. Sunder Selwyn, Dr. R. Kesavan . Computation of Reliability and Birnbaum Importance of Components of a Wind Turbine at High Uncertain Wind. International Journal of Computer Applications. 32, 4 ( October 2011), 42-49. DOI=10.5120/3896-5459

@article{ 10.5120/3896-5459,
author = { T. Sunder Selwyn, Dr. R. Kesavan },
title = { Computation of Reliability and Birnbaum Importance of Components of a Wind Turbine at High Uncertain Wind },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 32 },
number = { 4 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 42-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume32/number4/3896-5459/ },
doi = { 10.5120/3896-5459 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:18:20.408149+05:30
%A T. Sunder Selwyn
%A Dr. R. Kesavan
%T Computation of Reliability and Birnbaum Importance of Components of a Wind Turbine at High Uncertain Wind
%J International Journal of Computer Applications
%@ 0975-8887
%V 32
%N 4
%P 42-49
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The reliable and uninterrupted power generation using wind turbines is valuable due to its environmental impacts and escalation in energy cost. The wind turbine system has a complex and repairable components. The failure of these components causes insufficient generation of power. For minimizing the lifecycle cost of a turbine and failure, it is important to evaluate the reliability level for all components. The paper deals with reliability importance analysis for major components of wind turbine system and its sub systems such as rotor system, gear box, brake system, generator, hydraulic system and yaw system. It also deals with the method of increasing the efficiency of generation by improving the life of the individual component. The system reliability is calculated through a combined study of RBD analysis, Birnbaum analytical failure criticality index and operational Criticality index for a grid connected 250 kW wind turbine. The main objective of this paper is to develop a mathematical model using a Birnbaum importance of components on the constant speed and constant pitch wind turbines with considering all the major sub assemblies to quantify the probability and reliability at high uncertain wind in Muppandal site, Aramboly pass, India.

References
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  2. Fricks, R.M. Trivedi, K.S. Importance analysis with Markov chains Page(s): 89 - 95 IEEE Reliability and Maintainability Symposium, 2003. Annual Date:27-30 Jan. 2003
  3. Arabian – Hosynabadi H, oraee H. and Tavner .P.J. “Failure Modes and Effects Analysis of Wind Turbine” IET Renewable power generation, 2009, Volume 3 Issue 4 , pp 387-401
  4. Joseph T. Foley, Timothy G. Gutowski, “The Impact of Reliability on Wind Turbine LifeCycle Analysis”, in conference proceedings of WEC, Cambridge, MA 02139.
  5. Zsolt János Viharos, László Monostor, Gábor Erdős, András Kovács “AI supported maintenance and reliability system in wind energy production” European Wind Energy Conference,Warsaw 2010.
  6. Tavner P.J., Spinato f., Van Bussel G.J.W., Koutoulakos E.: ‘Reliability of different wind turbine concepts with relevance to offshore application’. European Wind Energy Conf., EWEC2008, Brussels, 2008.
  7. Birnbaum. Z. W, “On the importance of different components in a multi-component system”, University of Washington Technical Report No. 94 May 24, 1968.
Index Terms

Computer Science
Information Sciences

Keywords

Reliability System Reliability Failure rate Birnbaum Criticality Index Failure Criticality Index Operational Criticality Index Reliability Block Diagram –BlockSim Version 7 Software