2012 Prognostics & System Health Management Conference
(PHM-2012 Beijing)
Review of Offshore Wind Turbine Failures and Fault Prognostic Methods
Bill Chun Piu Lau2, Eden Wai Man Ma2 & Michael Pecht1
1Center for Advanced Life Cycle Engineering (CALCE)
University of Maryland
College Park, MD 20742
Centre for Prognostics and System Health Management
City University of Hong Kong
Hong Kong, China
2Centre for Prognostics and System Health Management
City University of Hong Kong
Hong Kong, China
Abstract:
Wind electricity is a highly promoted energy source all around the world. The number of offshore wind farms, increases gradually because of the high capability of power generation. However, the cost of manufacturing, logistics, installation, grid control and maintenance of offshore wind turbine is high. According to the Condition Monitoring of Offshore Wind Turbine (CONMOW) report of Energy Research Centre in the Netherlands, the investment costs for future offshore wind farms built of larger units are expected to be 1.4 to 2.0 k€/kW. The Operation and Maintenance (O&M) costs 30 to 50 €/kW per year. To enhance a cost effective maintenance strategy and higher quality design, Prognostics and System Health Management (PHM) is applied. In this paper, major failures of wind turbine will be discussed and possible prognostic methods for the failures will be introduced.
Keywords: Prognostics; Offshore Wind Turbine; Failures; Hidden Markov Model; Neural Networks; Particle Filter