INDUSTRIAL BIG DATA PIPELINE FOR WIND TURBINE PHM IN A LARGE MANUFACTURING FACILITY

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.

Keywords

• phm
• wind turbines
• data ingestion