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2022 Wind Turbine Blade Maintenance Workshop
October 11 @ 1:00 pm - 4:00 pm EDT
Members of ESIG and/or EPRI are invited to attend our second annual Wind Turbine Blade Maintenance Workshop, co-hosted by EPRI and ESIG. This year we will focus on one or two hot topics in blade maintenance, as selected by participants. Attendees will offer examples of blade defects, damage, and mitigation strategies for the group to discuss and learn from. Unlike typical ESIG O&M workshops, attendees will come away from the event with workshop proceedings, which will summarize the examples shared during the workshop, poll results and discussion.
Past EPRI research revealed vast differences across the industry in how damage is assessed and addressed. Absence of standardization surrounding damage assessment is limiting because:
- The industry relies on a small number of blade experts to manually review inspection results and advise on appropriate actions.
- Automation and data analytics are less effective when categorization is not applied uniformly.
EPRI and ESIG recognize these challenges and have a long-term vision for bringing the industry together through knowledge sharing and consensus building by way of annual blade maintenance workshops.
This is a fully remote workshop, where attendee participation is vital. We will start with an expert presentation followed by brief presentations from participants of their example(s), followed by survey questions, results, and open discussion.
Participants will be asked to share one or more examples of blade damage or defects, including some information about the finding such as the blade age, the location on the blade, the size of the finding, and description of the finding, as well as some additional optional information.
How to Participate
- Click to Pre-register
- Review the confirmation email which will include a meeting invite and a link for sharing your example
- Upload your example data using the instructions provided in your confirmation email
- Click to review EPRI white paper on damage and defect categorization