Industrial Big Data Pipeline for Wind Turbine PHM in a Large Manufacturing Facility

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Published Jan 1, 2019
DOI https://doi.org/10.36001/ijphm.2019.v10i1.2741
Kevin Leahy
School of Engineering, University College Cork, Cork, Ireland. Science Foundation Ireland (SFI) MaREI Centre, Environmental Research Institute, University College Cork, Cork, Ireland
Colm Gallagher
School of Engineering, University College Cork, Cork, Ireland. Science Foundation Ireland (SFI) MaREI Centre, Environmental Research Institute, University College Cork, Cork, Ireland
Peter O’Donovan
School of Engineering, University College Cork, Cork, Ireland
Dominic T.J. O’Sullivan
School of Engineering, University College Cork, Cork, Ireland

Abstract

Wind turbines generate a wealth of data which can be effectively used to improve maintenance strategies and drive down operations and maintenance ( O & M ) costs, which account for 20-25 % of the cost of generation of wind energy. Data-driven techniques for enabling prognostic and health management ( PHM ) technologies have seen many successes in the space. However, managing this data, particularly in the context of an
industrial facility which may have many other data streams, is a challenge. This technical brief describes the schematic of a proposed system for managing turbine data, ahead of an implementation which will see PHM techniques applied to it. The turbine in this case is attached to a manufacturing facility, so the pipeline is designed to be modular and integrate well with an existing pipeline at that facility.

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Keywords

PHM, Wind Turbines, data ingestion

References
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Issue
Vol. 10 No. 1 (2019): International Journal of Prognostics and Health Management
Section
Technical Briefs