We have over 12,000 students, from over 100 countries, within one of the safest campuses in the UK


97% of Lancaster students go into work or further study within six months of graduating

Home > Research > Publications & Outputs > Novel early warning fault detection for wind-tu...
View graph of relations

« Back

Novel early warning fault detection for wind-turbine-based DG systems

Research output: Contribution in Book/Report/ProceedingsConference contribution


Publication date5/03/2012
Host publicationProceedings of 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe): 5-7 Dec. 2011, Manchester, UK
Number of pages6
ISBN (Electronic)978-1-4577-1420-7
ISBN (Print)978-1-4577-1422-1
<mark>Original language</mark>English


This paper will study condition monitoring signals of a distributed generation (DG) system not only due to the mechanical and electrical faults inside the wind turbines but also due to the grid system fluctuations. A novel feature extraction and characterisation method based on singularity detection of the monitoring data will be presented, aiming to identify the abnormal events and fault conditions as early as possible. The algorithm used to calculate Lipschitz values is given in the paper and efficient processing and storage of monitoring data is also discussed. The preliminary research has produced promising results.