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

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Published Jan 1, 2019
Kevin Leahy Colm Gallagher Peter O’Donovan Dominic T.J. O’Sullivan

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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Section
Technical Briefs