Predictive maintenance technology is being increasingly adopted in the wind energy industry today.
Fremont, CA: The Internet of Things (IoT) and predictive maintenance are two examples of IT technologies for the renewable energy sector that have already demonstrated their value. SCADA data is used by most wind farm operators for remote monitoring and management.The efficiency of SCADA-based predictive maintenance is harmed by a lack of visibility into the evolving downtime. The primary reason why operators are actively investigating IoT-driven wind turbine predictive maintenance as a complement to traditional maintenance methods (or even replace SCADA).
Wind turbine farms are vulnerable to natural disasters such as lightning strikes, excessive icing, earthquakes, and other natural disasters. Following unanticipated maintenance, personnel are compelled to run diagnostics to identify the impact, which might cause operations to stall for a long time.
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IoT sensors can successfully replace humans in the preliminary damage assessment process, resulting in more productive on-site visits. If one of the turbines is struck by lightning, for example, a sensor may gather data about the current that travelled through each blade, evaluate any changes in performance, and send the information in real time to the central control system, which will warn the team.
As a result, the maintenance crew will know exactly where they need to go, what impact the strike had, and which blades need to be diagnosed. The team will then simply need to halt the impacted wind turbines and minimize downtime during the visit.
Moreover, machine learning algorithms can compare current performance to historical records and scan past maintenance reports to estimate the current state of the blade and provide technicians with additional recommendations on whether it should be checked right away or if maintenance can be postponed. Such information can greatly aid in the optimization of maintenance schedules and the improvement of on-site planning visits.