Machine Learning for Automated Blade Defect Detection

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1 O&M - New innovations and technologies Machine Learning for Automated Blade Defect Detection Powered by Wind Power LAB technology 1 Start Counter - Powered by WPL technology

2 The Wind Industry Challenge Situation Blade defects are one of the wind industry s biggest challenges at the moment. Major OEMs struggle with significant warranty claims related to blade defects.

3 Assessment lead time and risk of inconsistent assessment quality Complication It takes a blade specialist up to one workday to carry out an image analysis of a single turbine. There are not enough blade specialists available to assess the growing number of blade inspection imagery worldwide.

4 Automated blade defect detection Solution: Wind Power LAB uses A.I. to enable the only automated blade defect detection in the wind industry Wind Power LAB delivers automated blade defect analysis Turbine NN34A Blade A II NEW CRITICAL FINDING The automation enables fast and reliable analysis, in the same quality every time. 2 critical issues 4 major issues 3 minor issues DATA ARCHIVE BLADE FORECAST FULL REPORT ALL IMAGES >>

5 Control and continuous improvement of your blade asset Blade PDCA - Be in control of your blade defects Plan Inspect Analyse Repair Use A.I. to be in control of current and developing blade defect risks Reduce assessment lead time after inspection significantly Repairs can be executed within same service window

6 Meet A.I. your new FAST-PACED blade specialist Identify exactly which inspection images to apply additional analysis and relocate your engineering hours for other issues 100% 5%

7 Meet A.I. your new PRECISE blade specialist Wind Power LAB A.I. output accuracy in quantity and defect type assessment No structural defects to be missed 5% Blade Condition Report on findings Defect type Finding accuracy [%] Type accuracy [%] Surface Cracks Major Cracks Erosion Gouges Scratches Delamination Voids Chipping Peeling Vortex Generators Gurney Flaps Dino Tails Dino Shells LPS Bearing Covers Drain hole Dry Fibers Contamination 50 95

8 The Output - Automated defect assessments Blade condition reporting made easy available to ISPs, Owners, Investors and OEMs through A.I. Blade defect assessments have been automated using A.I., in great speed and in a consistent improved quality Blade specialist time allocated to investigate critical defects, to focus effort on preparing and running repair campaigns and solid warranty claims A.I. DEFECT CATALOGUE 2017

9 The wind industry needs automation and digitalization Opportunity - Let computers do the time consuming data crushing The wind industry need to be in control with blade defects before and after EoW WPL has standardized blade defect detection and assessments Use of A.I. and automation in the wind industry is extremely limited WPL have levered A.I. by letting computers do the time consuming data crushing, when needed, adapting to any defect or severity model. Number of blade inspections increases; huge amount of data to be analyzed Remove assessment bottle necks and human errors with A.I., without a decrease in quality, risking that potential defects risks are overlooked. Invest time and effort in blade repairs with potential integrity risk WPL assessment service enables blade specialists to make the correct evaluation of repair requirements

10 Avoid your asset turning into an unexpected liability Get in control like our Clients Get a blade condition assessment to mitigate asset risk and lower insurance cost WPL has proven an assessment speed second to none. When we submitted our inspection images to WPL, they delivered excellent defect assessment reports back very fast. WPL delivered assessments in very high quality and to the specific client s defect definition. Know and control the condition of your blade asset by using automated blade defect detection As a part of a cost-efficient Asset Integrity management system, Wind Power Lab provides a unique reporting services where blade knowledge has been integrated into an automated system. The reporting is directly applicable for taking informed Asset decisions, without the needed of a manual review. Use your data to plan and execute repairs within the same season, to protect your business case Wind Power LAB delivers state of the art blade condition reports. As a result SBT has partnered up with Wind Power LAB in a common Blade Alliance. Power Blade maintenance provider P EAK Wind Asset Management provider Blade maintenance provider

11 Thank you from our team in Wind Power LAB Q&A Follow up webcast session Get invited by sending an to THANK YOU By the way VIDEO