Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 1 results ...

Andrawus, J, Watson, J and Kishk, M (2007) Maintenance optimisation of wind turbines: lessons for the built environment. In: Boyd, D (Ed.), Proceedings 23rd Annual ARCOM Conference, 3-5 September 2007, Belfast, UK. Association of Researchers in Construction Management, Vol. 2, 893–902.

  • Type: Conference Proceedings
  • Keywords: wind turbine; maintenance optimisation; Monte Carlo simulation; reliability block diagrams
  • ISBN/ISSN: 978-0-9552390-0-7
  • URL: http://www.arcom.ac.uk/-docs/proceedings/ar2007-0893-0902_Andrawus_Watson_and_Kishk.pdf
  • Abstract:
    Maintenance optimisation is indispensable to the core business objectives of industries that utilises physical assets. A quantitative maintenance optimisation technique known as the Modelling System Failures (MSF) is critically reviewed to identify its relevance to industries that employs physical assets. Practical application of the approach to optimise the maintenance activities of wind turbines is explored and discussed in a case study. The analysis is based maximum likelihood parameter estimation in the Weibull distribution. Shape and scale parameters for a gearbox and its components are estimated. The estimated parameters are used to design Reliability Block Diagrams to model the failures of the gearbox of a selected wind turbine. The models are simulated using Monte Carlo simulation software to assess the reliability, availability and maintainability of the gearbox, and the resultant effects on the wind turbine operation. The methodology presented in the paper is sufficiently generic to any mechanical system in the Built Environment/Construction Industry.