Statistical and Probabilistic-based Decision aids for Offshore Wind Turbine Reliability

Nathan R. Dappa, Srinivas Sriramula

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The reliability of a wind turbine or any system is a key parameter in decision-making to ascertain the level of assurance the system can actively remain in operation. It also provides support to make reasonable cost-benefit analysis, certain safety legislations required of the equipment as well as deciding suitable maintenance requirements or strategy for effective performance of the system. The use of accurate statistical data and probabilistic method is an effective aid to capture uncertainties that may lead to sudden failure of the system and consequently provide effective mitigation plans. Various classical and structural reliability methods to aid decision making are outlined in the paper, a step-by-step example in assessing the reliability of an offshore wind turbine is then provided.

Original languageEnglish
Title of host publication2020 International Conference on Decision Aid Sciences and Application (DASA 2020)
PublisherIEEE Explore
Pages566-571
Number of pages6
ISBN (Electronic)9781728196770
DOIs
Publication statusPublished - 8 Nov 2020
Event2020 International Conference on Decision Aid Sciences and Application, DASA 2020 - Virtual, Sakheer, Bahrain
Duration: 7 Nov 20209 Nov 2020

Publication series

Name2020 International Conference on Decision Aid Sciences and Application, DASA 2020

Conference

Conference2020 International Conference on Decision Aid Sciences and Application, DASA 2020
CountryBahrain
CityVirtual, Sakheer
Period7/11/209/11/20

Keywords

  • Offshore wind turbines
  • reliability
  • statistical analysis
  • uncertainty

Fingerprint

Dive into the research topics of 'Statistical and Probabilistic-based Decision aids for Offshore Wind Turbine Reliability'. Together they form a unique fingerprint.

Cite this