Visual Detection Technology in
Siemens Gamesa
Wind Power Blades & Beyond
https://goo.gl/rHcgPcRestricted © Siemens Gamesa Renewable Energy 2017
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 2 Allan Moeller Larsen // Service PLM Program Manager
About me
Allan Moeller Larsen | M.Sc. Engineering, Innovation & Business
Program Manager in Service PLM
Responsible for Blade Inspection & Data Analysis Concept: A Visual Detection
Technology
Mobile: +45 2429 5580 | Email: allan.m.larsen@siemens.com
LinkedIn: https://www.linkedin.com/in/larsenallan
Background
• Lives in Vejle and works in Brande, Denmark.
• 2,5 years as Business Startup Consultant for SET
• 5,5 years as project manager in Siemens Wind Power A/S
• IT, Digitalization, Big Data & Analytics
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 3 Allan Moeller Larsen // Service PLM Program Manager
Replacing this...
With this..
For that..
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 4 Allan Moeller Larsen // Service PLM Program Manager
Why are we at TUS Nordics?
Siemens Gamesa = Serious UAV Player!
Your drone = Our drone?
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 5 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 6 Allan Moeller Larsen // Service PLM Program Manager
Siemens Gamesa Renewable Energy
Company Size after April 2017 Merger
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 7 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 8 Allan Moeller Larsen // Service PLM Program Manager
Condition
Time
Visual Detection of Failure Modes
Blade External Surface
What is it?
Point where failure starts
to occur. Not necessarily
related to age
Point where we can detect
that the products starts to fail
(Potential Failure)
Point where the
product has failed
(Functional Failure)
F
P
Category: Erosion on the leading edge
Degredation: filler layer
What is it not?
P-F Interval
Blade External Surface
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 9 Allan Moeller Larsen // Service PLM Program Manager
Siemens Gamesa current state
Operational platform for internal use
Drone inspections
Ground based
inspections
Legacy data
Data Annotation
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 10 Allan Moeller Larsen // Service PLM Program Manager
Offshore Inspections with Drones
Onshore inspections with Drones and Ground Based Systems
Visual Inspections Products
Two main uses – same data source type
Keeping it running
Maintenance & Repair
Kicking Tires
End of Warranty or Asset Trading
Standard analysis product Premium analysis product
Operational todayLive in 2017
Clients
cloud
Soon...
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 11 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 12 Allan Moeller Larsen // Service PLM Program Manager
Gartner’s Hype Cycle for Emerging Technologies, July 2017
Disappointments
await??
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 13 Allan Moeller Larsen // Service PLM Program Manager
Blade = Very expensive component
Applied UAV Technology in Siemens Gamesa
The Business Case for Blades funds Technology Maturation
Repair
x 80
VS
Whats next?
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 14 Allan Moeller Larsen // Service PLM Program Manager
Multiple Supplier Setup
Challenges of conforming a variety of data sources
Inspection DecisionsAnalysis
€ / wtg
Total
One platform
Multiple
suppliers
[...]
Challenges
Performance, Quality &
Technology
Conformity Flexibility
• Current suppliers with operational
readiness approval on drones
and/or Ground Based Systems
Inspection Suppliers
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 15 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 16 Allan Moeller Larsen // Service PLM Program Manager
Quality and Performance
What and how to measure
Image
OverlapMETRICS
Inspection
Speed
Surface
Coverage
? Weather
Dependency
Requirement
Specifications
[...]Image
Quality
Time
Metric
Time
Metric
Time
Metric
Time
Metric
• Accurate
• Stable (precise)
• Inaccurate
• Stable
• Accurate
• Unstable
• Inaccurate
• Unstable
Tolerance
Undesirable
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 17 Allan Moeller Larsen // Service PLM Program Manager
Poor data examples
...Other than blurry or onfocused images
Missing Surface Coverage Imprecise and inaccurate meta data
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 18 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 19 Allan Moeller Larsen // Service PLM Program Manager
Automated Annotation*
16MP image
Process time: 1,81s
False detection
Quality Price
*Siemens Gamesa Prototype results from July
Demand
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 20 Allan Moeller Larsen // Service PLM Program Manager
Drone Technology Expectations
From OEM’s and Asset Operators
• Autonomous systems to reduce human error & variation
• Fly using a single rotor position
• Become weather resistant and photograph in difficult
conditions. Weather windows are for maintenance!
Drone Performance
• Fast raw data sharing with client
• Onsite or onboard QA tools
Drone connectivity
• Raw data sharing with full image meta data set and
drone data
• Maintenance system integration
Data openness
AI
IoT
API’s
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 21 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 22 Allan Moeller Larsen // Service PLM Program Manager
Industry Standards Needed
Easy of
• Asset operators and OEM’s will
want to maintain proprietary failure
mode catalogues.
• Assets will be traded and operated
by different parties in their lifetime
• Big data analytics require
normalization
• Navigation of the UAV tech jungle
is hard
• Many say they can do things they
can’t do in real life
• It must be easy to share raw visual
inspection data and meta data sets
• As industry matures, more
operators will want to integrate
failure mode data to computerized
maintenance management
systems
Failure Mode Standards
Autonomous Systems Test &
Validation Standard
Data Interchange Standards
• What kind of image quality is
required for accurate and precise
(consistent) failure mode
detection.
• How can an inspection provider
prove that their image quality is
great?
Image quality standards
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 23 Allan Moeller Larsen // Service PLM Program Manager
Q&A5
Thoughts on Standards4
Technology3.2
Quality & Operational Performance3.1
Expectations to Drone Inspection Suppliers & Technology Developers3
Our Current Capabilities2
Siemens Gamesa Intro1
Blades & Beyond
Agenda: Visual Detection Technology in Siemens Gamesa
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 24 Allan Moeller Larsen // Service PLM Program Manager
Questions?
Unrestricted © Siemens Gamesa Renewable Energy
2017.10.11Page 25 Allan Moeller Larsen // Service PLM Program Manager
UAV’s will reduce the cost of Renewable Energy

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Visual Detection Technology in Siemens Gamesa (by Allan Moeller Larsen)

  • 1. Visual Detection Technology in Siemens Gamesa Wind Power Blades & Beyond https://goo.gl/rHcgPcRestricted © Siemens Gamesa Renewable Energy 2017
  • 2. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 2 Allan Moeller Larsen // Service PLM Program Manager About me Allan Moeller Larsen | M.Sc. Engineering, Innovation & Business Program Manager in Service PLM Responsible for Blade Inspection & Data Analysis Concept: A Visual Detection Technology Mobile: +45 2429 5580 | Email: allan.m.larsen@siemens.com LinkedIn: https://www.linkedin.com/in/larsenallan Background • Lives in Vejle and works in Brande, Denmark. • 2,5 years as Business Startup Consultant for SET • 5,5 years as project manager in Siemens Wind Power A/S • IT, Digitalization, Big Data & Analytics
  • 3. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 3 Allan Moeller Larsen // Service PLM Program Manager Replacing this... With this.. For that..
  • 4. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 4 Allan Moeller Larsen // Service PLM Program Manager Why are we at TUS Nordics? Siemens Gamesa = Serious UAV Player! Your drone = Our drone?
  • 5. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 5 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 6. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 6 Allan Moeller Larsen // Service PLM Program Manager Siemens Gamesa Renewable Energy Company Size after April 2017 Merger
  • 7. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 7 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 8. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 8 Allan Moeller Larsen // Service PLM Program Manager Condition Time Visual Detection of Failure Modes Blade External Surface What is it? Point where failure starts to occur. Not necessarily related to age Point where we can detect that the products starts to fail (Potential Failure) Point where the product has failed (Functional Failure) F P Category: Erosion on the leading edge Degredation: filler layer What is it not? P-F Interval Blade External Surface
  • 9. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 9 Allan Moeller Larsen // Service PLM Program Manager Siemens Gamesa current state Operational platform for internal use Drone inspections Ground based inspections Legacy data Data Annotation
  • 10. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 10 Allan Moeller Larsen // Service PLM Program Manager Offshore Inspections with Drones Onshore inspections with Drones and Ground Based Systems Visual Inspections Products Two main uses – same data source type Keeping it running Maintenance & Repair Kicking Tires End of Warranty or Asset Trading Standard analysis product Premium analysis product Operational todayLive in 2017 Clients cloud Soon...
  • 11. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 11 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 12. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 12 Allan Moeller Larsen // Service PLM Program Manager Gartner’s Hype Cycle for Emerging Technologies, July 2017 Disappointments await??
  • 13. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 13 Allan Moeller Larsen // Service PLM Program Manager Blade = Very expensive component Applied UAV Technology in Siemens Gamesa The Business Case for Blades funds Technology Maturation Repair x 80 VS Whats next?
  • 14. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 14 Allan Moeller Larsen // Service PLM Program Manager Multiple Supplier Setup Challenges of conforming a variety of data sources Inspection DecisionsAnalysis € / wtg Total One platform Multiple suppliers [...] Challenges Performance, Quality & Technology Conformity Flexibility • Current suppliers with operational readiness approval on drones and/or Ground Based Systems Inspection Suppliers
  • 15. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 15 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 16. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 16 Allan Moeller Larsen // Service PLM Program Manager Quality and Performance What and how to measure Image OverlapMETRICS Inspection Speed Surface Coverage ? Weather Dependency Requirement Specifications [...]Image Quality Time Metric Time Metric Time Metric Time Metric • Accurate • Stable (precise) • Inaccurate • Stable • Accurate • Unstable • Inaccurate • Unstable Tolerance Undesirable
  • 17. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 17 Allan Moeller Larsen // Service PLM Program Manager Poor data examples ...Other than blurry or onfocused images Missing Surface Coverage Imprecise and inaccurate meta data
  • 18. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 18 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 19. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 19 Allan Moeller Larsen // Service PLM Program Manager Automated Annotation* 16MP image Process time: 1,81s False detection Quality Price *Siemens Gamesa Prototype results from July Demand
  • 20. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 20 Allan Moeller Larsen // Service PLM Program Manager Drone Technology Expectations From OEM’s and Asset Operators • Autonomous systems to reduce human error & variation • Fly using a single rotor position • Become weather resistant and photograph in difficult conditions. Weather windows are for maintenance! Drone Performance • Fast raw data sharing with client • Onsite or onboard QA tools Drone connectivity • Raw data sharing with full image meta data set and drone data • Maintenance system integration Data openness AI IoT API’s
  • 21. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 21 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 22. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 22 Allan Moeller Larsen // Service PLM Program Manager Industry Standards Needed Easy of • Asset operators and OEM’s will want to maintain proprietary failure mode catalogues. • Assets will be traded and operated by different parties in their lifetime • Big data analytics require normalization • Navigation of the UAV tech jungle is hard • Many say they can do things they can’t do in real life • It must be easy to share raw visual inspection data and meta data sets • As industry matures, more operators will want to integrate failure mode data to computerized maintenance management systems Failure Mode Standards Autonomous Systems Test & Validation Standard Data Interchange Standards • What kind of image quality is required for accurate and precise (consistent) failure mode detection. • How can an inspection provider prove that their image quality is great? Image quality standards
  • 23. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 23 Allan Moeller Larsen // Service PLM Program Manager Q&A5 Thoughts on Standards4 Technology3.2 Quality & Operational Performance3.1 Expectations to Drone Inspection Suppliers & Technology Developers3 Our Current Capabilities2 Siemens Gamesa Intro1 Blades & Beyond Agenda: Visual Detection Technology in Siemens Gamesa
  • 24. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 24 Allan Moeller Larsen // Service PLM Program Manager Questions?
  • 25. Unrestricted © Siemens Gamesa Renewable Energy 2017.10.11Page 25 Allan Moeller Larsen // Service PLM Program Manager UAV’s will reduce the cost of Renewable Energy