Title: T1 RAM Assessment of Offshore Wind Turbines.
Presenters: Dr Ibiye Iyalla (Course leader and lecturer, Robert Gordon University) and Dr Jesse Andrawus.
Duration: 1/2 day in the morning (09:00 to 12:30).
Description: Maintenance of offshore wind turbines has significant impact on the overall cost of managing offshore wind farms. Reliability, Availability and Maintainability (RAM) analysis is a holistic technique necessary to determine systems overall reliability and availability. It identifies critical components with high failure rate hence contributing to the systems downtime. It highlights components that may require effective spares-holding. It permits identification of suitable maintenance activities and allow optimisation of maintenance strategies.
In this tutorial, RAM analysis technique is used to assess the failure characteristics of horizontal axis offshore wind turbines. Life-failure data of the wind turbines are collated and analysed using Maximum Likelihood Estimation in the Weibull Distribution. Shape (β) and scale (η) parameters of critical components and subsystems are estimated. Reliability Block Diagrams are designed to model the failures of the offshore wind turbine and a selected offshore wind farm.
Target Audience:This tutorial will be useful for reliability engineers seeking to switch career into the wind energy industry, people already working in wind energy and reliability engineers.