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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 contact@windpowerlab.com
THANK YOU
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