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  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    O&M - New innovations and technologies

    Machine Learning for Automated Blade

    Defect DetectionPowered by Wind Power LAB technology

    Start Counter

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    The Wind Industry ChallengeSituation

    Blade defects are one of the wind industrys

    biggest challenges at the moment.

    Major OEMs struggle with significant

    warranty claims related to blade defects.

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    Assessment lead time and risk of inconsistent assessment qualityComplication

    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.

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    FULL REPORT

    Turbine NN34A Blade A II NEW CRITICAL FINDING

    BLADE FORECASTDATA ARCHIVE

    ALL IMAGES >>

    2 critical issues 4 major issues 3 minor issues

    Wind Power LAB delivers automated

    blade defect analysis

    The automation enables fast and reliable

    analysis, in the same quality every time.

    Automated blade defect detection

    Solution: Wind Power LAB uses A.I. to enable the only automated blade defect detection in the wind industry

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    Control and continuous improvement of your blade assetBlade PDCA - Be in control of your blade defects

    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

    Inspect Analyse RepairPlan

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    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%

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    Meet A.I. your new PRECISE blade specialist Wind Power LAB A.I. output accuracy in quantity and defect type assessment

    Defect type Finding accuracy [%] Type accuracy [%]Surface Cracks 80 75

    Major Cracks 99 99

    Erosion 95 95

    Gouges 95 90

    Scratches 80 75

    Delamination 99 99

    Voids 80 75

    Chipping 80 75

    Peeling 80 75

    Vortex Generators 90 95

    Gurney Flaps 90 95

    Dino Tails 90 95

    Dino Shells 90 95

    LPS 90 95

    Bearing Covers 80 95

    Drain hole 80 95

    Dry Fibers 80 80

    Contamination 50 95

    Blade Condition Report on findings

    5%No structural

    defects to be missed

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    The Output - Automated defect assessmentsBlade 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

    DEFECT CATALOGUE

    2017

    A.I.

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    The wind industry needs automation and digitalizationOpportunity - Let computers do the time consuming data crushing

    Use of A.I. and automation

    in the wind industry is extremely limitedWPL 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 analyzedRemove 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 riskWPL assessment service enables blade specialists to

    make the correct evaluation of repair requirements

    The wind industry need to be in control with blade defects before and after EoW

    WPL has standardized blade defect detection and assessments

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    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.

    P EAK Wind Asset Management provider

    Avoid your asset turning into an unexpected liabilityGet in control like our Clients

    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 clients defect definition.

    Power Blade maintenance provider

    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.

    Blade maintenance provider

    Get a blade condition

    assessment to mitigate

    asset risk and lower

    insurance cost

    Know and control the

    condition of your blade

    asset by using automated

    blade defect detection

    Use your data to plan and

    execute repairs within the

    same season, to protect

    your business case

  • Automated blade inspection image defect assessments during this short presentation and it can be scaled X1000 - Powered by WPL technology 1

    Thank you from our team in Wind Power LABQ&A

    By the way

    Follow up webcast sessionGet invited by sending an e-mail to [email protected]

    THANK YOU

    VIDEO