Optimisation of operational reliability of large-scale industrial wind turbines

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


  • J. E. Camacho Questa
  • V. Requena Montejano
  • F. Polo
  • L. Moreno
  • T. Vanhnonacker
  • B. Stalaart
  • A. Karyotakis
  • O. Panagoiliopoulos
  • V. Karakassidis
  • Z. Q. Lang
  • C. Roldán De La Cuadra
  • M. Murillo Calleja
  • I. E. Oses
  • G. Auer
  • I. Zalacain
  • J. Errea Mugica
  • F. P. Garcia Marquez
  • D. Pedegral
  • D. Lee
  • S. Hajiabady

External organisations

  • Ingeteam Service S.A
  • D2S International
  • TERNA Energy S.A.
  • Sheffield University
  • INDRA Sistemas S.A.
  • Universidad de Castilla La-Mancha
  • Kyungpook National University


Condition monitoring (CM) and fault detection of the drive-train and power electronics are two very important tasks which are necessary in order to maintain the reliability of industrial wind turbines. Unexpected failures, expensive repair and downtime costs can be avoided or limited through effective remote CM technology. The consortium of the FP7 OPTIMUS project is involved in the development and demonstration of an integrated CM system based on a modular design, which enables reliable diagnosis and prognosis of the power electronic faults and drive-trains. CM systems have been installed onACCIONAAW-1500 wind turbines to continuously evaluate the condition of power electronics and drive-trains. Some of the key results and analysis methodologies employed are presented in this paper for the power converters.


Original languageEnglish
Title of host publicationRenewable Energies Offshore - 1st International Conference on Renewable Energies Offshore, RENEW 2014
Publication statusPublished - 2015
Event1st International Conference on Renewable Energies Offshore, RENEW 2014 - Lisbon, Portugal
Duration: 24 Nov 201426 Nov 2014


Conference1st International Conference on Renewable Energies Offshore, RENEW 2014

ASJC Scopus subject areas