A brief review on offshore wind turbine fault detection and recent development in condition monitoring based maintenance system

Kabir, M.J., Oo, Amanullah M.T. and Rabbani, Mahbub 2015, A brief review on offshore wind turbine fault detection and recent development in condition monitoring based maintenance system, in AUPEC 2015 : Challenges for Future Grids, IEEE, Piscataway, N.J., pp. 1-7, doi: 10.1109/AUPEC.2015.7324871.

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Title A brief review on offshore wind turbine fault detection and recent development in condition monitoring based maintenance system
Author(s) Kabir, M.J.
Oo, Amanullah M.T.ORCID iD for Oo, Amanullah M.T. orcid.org/0000-0002-6914-2272
Rabbani, MahbubORCID iD for Rabbani, Mahbub orcid.org/0000-0001-9162-3163
Conference name Australian Universities Power Engineering. Conference (25th : 2015 : Wollongong, New South Wales)
Conference location Wollongong, New South Wales
Conference dates 27-30 Sept. 2015
Title of proceedings AUPEC 2015 : Challenges for Future Grids
Publication date 2015
Start page 1
End page 7
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) wind turbine
condition monitoring
fault diagnosis
Summary Offshore wind turbine requires more systematized operation and maintenance strategies to ensure systems are harmless, profitable and cost-effective. Condition monitoring and fault diagnostic systems ominously plays an important role in offshore wind turbine in order to cut down maintenance and operational costs. Condition monitoring techniques which describing complex faults and failure mode types and their generated traceable signs to provide cost-effective condition monitoring and predictive maintenance and their diagnostic schemes. Continuously monitor the condition of critical parts are the most efficient way to improve reliability of wind turbine. Implementation of Condition Based Maintenance (CBM) strategy provides right time maintenance decisions and Predictive Health Monitoring (PHM) data to overcome breakdown and machine downtime. Fault detection and CBM implementation is challenging for off shore wind farm due to the complexity of remote sensing, components health and predictive assessment, data collection, data analysis, data handling, state recognition, and advisory decision. The rapid expansion of wind farms, advanced technological development and harsh installation sites needs a successful CM approach. This paper aims to review brief status of recent development of CM techniques and focusing with major faults takes place in gear box and bearing, rotor and blade, pitch, yaw and tower system and generator and control system.
ISBN 9781479987252
Language eng
DOI 10.1109/AUPEC.2015.7324871
Field of Research 090602 Control Systems, Robotics and Automation
090603 Industrial Electronics
090608 Renewable Power and Energy Systems Engineering (excl Solar Cells)
Socio Economic Objective 850504 Solar-Photovoltaic Energy
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30080961

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