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

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.