Session: 09-01-17 Wind Energy: Structures 2

Paper Number: 125288

125288 - An Intelligent Failure Data Analysis Framework for Failure Data Management of Wind Turbines 

Overall life performance improvement, economic competitiveness, and energy production efficiency of offshore wind turbines lie in the failure data accumulated during operation processes and maintenance actions because risk assessment, failure analysis, reliability issues, and maintenance planning are all carried out, based on the comprehensive understanding of failure behaviors and the related maintenance actions of such devices. However, the rapid accumulation of failure data brings new challenges to the traditional manual-based data analysis pattens as a result of burgeoning datasets exacerbated by ongoing failures in existing offshore wind turbines and the addition of new installations. To this end, this paper proposes an intelligent failure data analysis model to identify failure features of offshore wind turbines intelligently and automatically, which requires fewer interactions of analysts. Initially, two operation and maintenance datasets in terms of operation and maintenance of onshore (LGS-Onshore) and offshore (LGS-Offshore) wind turbines are introduced. Subsequently, an intelligent failure data analysis model is developed based on Bidirectional Encoder Representations from Transformers and the Conditional Random Field model with the assistance of the proposed adaptive resampling mechanism. The advantage of the proposed model is validated by the better performance in extracting failure features of onshore and offshore wind turbines according to LGS-Onshore and LGS-Offshore datasets. Overall, the outcomes of the paper contribute to both academia and industry. Specifically, the paper provides a novel data management concept aiming at releasing labor efforts and is applicable to all textual data management scenarios.

Presenting Author: He Li University of Lisbon

Presenting Author Biography: He Li works at the Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, University of Lisbon, Portugal. His research mainly focuses on the failure, risk, reliability, and maintainability of complex systems such as floating offshore wind turbines.

Authors:

He Li University of Lisbon
Carlos Guedes Soares University of Lisbon
Yi Ding Department of System Engineering, City University of Hong Kong