Title :
Review of offshore wind turbine failures and fault prognostic methods
Author :
Lau, Bill Chun Piu ; Ma, Eden Wai Man ; Pecht, Michael
Author_Institution :
Centre for Prognostics & Syst. Health Manage., City Univ. 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 :
condition monitoring; fault diagnosis; maintenance engineering; offshore installations; power generation economics; power generation reliability; wind power plants; wind turbines; CONMOW; condition monitoring; cost effective maintenance strategy; fault prognostic methods; maintenance costs; offshore wind turbine failures; operation costs; quality design; Failures; Hidden Markov Model; Neural Networks; Offshore Wind Turbine; Particle Filter; Prognostics;
Conference_Titel :
Prognostics and System Health Management (PHM), 2012 IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1909-7
Electronic_ISBN :
2166-563X
DOI :
10.1109/PHM.2012.6228954
