This is a unique webinar designed specifically for our customers that want to know more about the validation of our model. We put together this slide deck and discussion together to solely review our validations in the wind industry.

1. © 2016 Sentient Science Corporation – Confidential & Proprietary
DigitalClone® Wind Turbine Validations

2. DigitalClone® is a “Small Data” Approach
A “small data” approach to determine component and system
failure rates
DigitalClone® Wind Validations 2
• When bearings enter failure, it happens very fast... minutes, hours, days
• That fast failure causes failure in other expensive components
• Save the bearing and you get life extension and a larger pay back than Big Data

3. “Small Data” Approach
Operators and suppliers will know the earliest point in time when
critical components will begin to fail and have options to extend life
DigitalClone® Wind Validations 3

4. “Small Data” Approach
This means you now have much more information on asset life, life extension, financial impact
DigitalClone® Wind Validations
Earliest Failure
Reporting & Actions
Known Component
Failure
Accurate Financial
Planning
• 18 month Rolling O&M Forecasting • CBM Optimization• Risk Management
4

5. © 2016 Sentient Science Corporation – Confidential & Proprietary
Aligning with Our Customers Business Goals
DigitalClone® Wind Validations 5
Operations
Management
Asset
Management
Risk
Management
New
Development
Reduce Energy Costs
by 13% or $10/MWH
Supply
Chain
Business
Strategy
6 Areas of Business Impact, Value and Focus

6. Overview of Sentient’s 6-step Technology Process
DigitalClone® Wind Validations 6
Calculate Component
Stresses (bulk)
Build Material
Microstructure Model
Build Surface Model
Calculate Probabilistic Life
Predict Failure Mode &
Component Life
Simulate Material
Microstructure Response
Subsurface crack
network
Contact Surface
Sub-surface
Ground Finish
Superfinish
2.1. 3.
4.5.6.

7. 3 Life Extension Services
1. DigitalClone®
• Materials-Based Computational
Testing (SaaS)
2. DigitalClone® Live for Operators
• Life Extension of Gearboxes, Main
bearings, Pitch Bearings
3. DigitalClone® Live for Suppliers
• Interfacing Suppliers with Operators
DigitalClone® Wind Validations 7

8. © 2016 Sentient Science Corporation – Confidential & Proprietary
Sentient Predicted Failed and Damaged Gearboxes Correlated well with Field
Data
Wind Turbine Gearbox Validation
Sentient Predicted Failed and Damaged Gearboxes Correlated well with Field Data
DigitalClone® Wind Validations 8
Turbine
ID
Sentient Predictions Actual/Site Info
Sentient
Recommendation
Notes
A
Mech. failure
Nov 2012
Replaced
March 2013
N/A Predictions line up perfectly with actual site data
B
Mech. failure
next 6 months
On watch list Derate to 1.75MW
Sentient recommends turbine be inspected for
main bearing pitting/spalling, derate to push
back failure 1-2 months
C
Mech. failure
Aug 2012
Replaced
Sept. 2012
N/A Predictions line up perfectly with actual site data
D
Mech. failure
any moment
On watch list Derate to 1.5MW
Sentient recommends turbine be inspected for
main bearing pitting/spalling, derate to push back
failure 1-2 months
Sentient Science Solution
1. Reduce the cost of maintenance by transforming CM to PM
through Optimization.
2. $50-$55 MM of Maintenance Cost reduction potential in 5
years.
Business Problem
1. CM & PM mix as of today is 55:45 respectively. It will only
get worse with aging.
2. CM costs 30X more than PM. CM cost to go up with aging.

9. © 2016 Sentient Science Corporation – Confidential & Proprietary
Wind Turbine Gearbox Validation
Predicted 38 Gearboxes with Damage, Confirmed by Site Inspections
DigitalClone® Wind Validations 9
DigitalClone®
Fleet Failure Data Customer knew of 18 critical assets
DigitalClone® predicted an additional 20
Customer was able to plan maintenance with
little to no unscheduled downtime over next
two years
→ Parts on hand for replacements on site exactly when
needed, no delays
→ No failures caused immediate downtime
→ Unplanned failures were prevented, customer saved over
$4.7M in first year
Reduced failure risk

10. © 2016 Sentient Science Corporation – Confidential & Proprietary
Gearbox Life Extension Validation
Uptower and Derate Recommendations
DigitalClone® Wind Validations 10
→ Sentient provided Watch List and Life Extension
Action reports to customer during Dec. 2014
→ Long term and short term visibility to failure,
uptower repair was made during scheduled
maintenance activity, and zero unplanned downtime
was incurred.
→ Traditional data analytics did not detect this failure
Butterfly
Wings
Turbine ID
DigitalClone
Predicted MTOD
Damage Noticed
Date
Action Taken for
Life Extension
Life Extension,
Months
A Sept, 2015 Oct, 2015
Uptower
Replacement
33
B Oct, 2016 Aug, 2016 Derate 14

11. © 2016 Sentient Science Corporation – Confidential & Proprietary
1.5 MW Fleet Failure Rate Predictions Validation
GBX Supplier Differentiation and Validation
→ DigitalClone® prognostic modeling applied to the 1.5 MW
gearboxes
→ DigitalClone® predicted cumulative fleet failure rate correlated
well with customer’s failure data
→ Individual years fleet failure rate and O&M costs predicted in
the next 1 to 5 years
→ Operators take actions to reduce this O&M cost increase with
dynamic models to enable turbine life extension from:
1. Optimizing Uptower Component Replacements
2. Gearbox Upgrades and Operational Changes (Lubricants,
Derate/Uprate)
3. Major Component Long Lead Time Planning
4. Scheduled versus Unscheduled Maintenance
5. Evaluate New Gearbox and Components Life Extension before
Procurement
DigitalClone® Wind Validations 11
Supplier 1
Supplier 2
Supplier 3
Supplier 4
5 years 10 years 15 years 20 years
Customers Cumulative
Fleet Failure Rate as of
2016

12. © 2016 Sentient Science Corporation – Confidential & Proprietary
DigitalClone®Simulation
Bearing
Supplier
Hardness (Ra)
Range 0 to 4500
um depth
Microstructure
Inclusions
Microstructure
Quality
D 60–58 HRC
A
60-53 HRC
(Design requirement
>58 HRC)
1.5 MW Gearbox Bearing Supplier Quality Prediction and Validation
Differences in Bearing Suppliers Identified and Validated with Site Failures
DigitalClone® Wind Validations 12
HSS Bearing DigitalClone® Comparison
Stress / Life Curve
→ Sentient predicted Supplier A HSS bearing failures within 8 years of operation. 100% of site’s
HSS bearing failures are with Supplier A, confirming DigitalClone® predictions.
→ Bearing material microstructure, surface finish, and material quality impact life…depending
upon location and stresses experienced.
BESTBESTBEST
Cycles to Damage (L66)
MaxContactPressure(MPa)
Stress – Life Curve
A
Better Life
BetterStressPerformance
D
BEST

13. © 2016 Sentient Science Corporation – Confidential & Proprietary
Component Supplier
Predicted
L10 Life
Planet Bearing
Supplier A 8 yrs
Supplier C 15 yrs
Supplier D > 20 yrs
Low Speed
Intermediate Shaft
Bearing UW
Supplier A 6.1 yrs
Low Speed
Intermediate Shaft
Bearing DW
Supplier A 8.1 yrs
High Speed
Intermediate Shaft
Bearing UW
Supplier E > 20 yrs
Supplier C 14 yrs
High Speed
Intermediate Shaft
Bearing DW
Supplier E > 20 yrs
Supplier B 12.2 yrs
High Speed Shaft
Bearing UW
Supplier E > 20 yrs
Supplier C > 20 yrs
Supplier B 9 yrs
High Speed Shaft
Bearing DW
Supplier E > 20 yrs
Supplier C > 20 yrs
Supplier B 7.7 yrs
Supplier D 12.5 yrs
Risk ranking of bearing suppliers,
confirmed by Customer’s site
failures and teardown reports
• Supplier A (highest risk)
• Supplier B
• Supplier C
• Supplier D
• Supplier E (lowest risk)
Validation - Effect of Bearing Supplier Quality on 1.5 MW Gearbox Life
DigitalClone® Wind Validations 13
Primary Component Risk:
1. High speed shaft (HSS) bearing
2. Planet bearing
3. Low Speed Inter. Shaft (LSIS) bearing
4. High Speed Inter. Shaft (HSIS) bearing
Secondary Component Risk:
1. High Speed Shaft (HSS) Pinion and Inter. Speed Shaft
2. Planetary Gear/Sun Gear
3. Low Speed Shaft and Inter. Gear
4. Ring Gear
Misalignment and bearing pitting / spalling then causes…

14. © 2016 Sentient Science Corporation – Confidential & Proprietary
Validation - Effect of Gear Supplier Quality on Gearbox Life
DigitalClone® Wind Validations 14
Business Problem
1. Need for advanced gear materials to meet new gearbox
design requirements.
2. It is expensive and time consuming to evaluate gearbox
performance at various operating conditions and life
accurately
Validation & Sentient Science Solution
1. Sentient predicted the effect of gear material quality on
performance, validated with physical test data
2. 1000x more virtual test points for gears at reduced time
and cost over physical test
3. Combining statistically significant virtual test points with
limited physical test data provides accurate fatigue life
estimates and allowable stress/loads
4. Simulate the affect on gearbox life from:
1. Overload/over torque conditions
2. Manufacturing Process
3. Lubrication
4. Residual stress
5. Surface finish
Case Core
Gear Tooth

15. © 2016 Sentient Science Corporation – Confidential & Proprietary
Critical Wear
Location:
Azimuthal Angle of 207 𝑜
at -
74.17 mm
6MW Turbine Main Bearing Validation
Sentient conducted RCA and predicted Main Bearing Damage Location,
correlating with field failures
DigitalClone® Wind Validations 15
→ Sentient used DigitalClone® to predict the
effect of site operating conditions on main
bearing fatigue life and conducted RCA for
premature bearing failures
→ DigitalClone® predicted adhesive/abrasive
wear (lubricant starvation) on the outer race
as the primary damage mode leading to main
bearing failure, confirmed by site observations
Wear Bands
Predicted Actual

16. © 2016 Sentient Science Corporation – Confidential & Proprietary
Drives System Bearing Supplier Comparison and Validation
DigitalClone® predicted that bearing Supplier D is superior
compared to other suppliers, confirmed by physical test data
DigitalClone® Wind Validations 16
• Bearing supplier ranking based on material quality and
life.
• Sentient predicted bearing life and ranking correlated
with test data
→ OEM selected Supplier D for production
Bearing A Version 1
Bearing A Version 2
Bearing B Poor Quality
Bearing B Good Quality
Bearing C
Bearing D
Supplier Ranking Supplier Test Data L10 Life, Hours Sentient Predictions L10 Life, Hours
2
Supplier A Ver1 &
Ver 2
978.00 (Ver 1&2)
622.58 (Ver 1)
716.93 (Ver 1&2)
764.25 (Ver 2)
4
Supplier B with & without
Carbides
308.00 (with and without Carbides)
Without carbides - 653.90
370.26 (with and without Carbides)
With carbides - 130.45
3 Supplier C 380.00 380.39 N/A
1 Supplier D 1056.0 835.93 N/A

17. © 2016 Sentient Science Corporation – Confidential & Proprietary
Test
data
Advanced Bearing Modeling and Validation
Case Hardened vs. Shot Peened vs. Nitrided
DigitalClone® Wind Validations 17
• Bearings OEM and Sentient Science began a
computational testing and DigitalClone Supply initiative
in 2015 to support bearing material upgrade initiatives.
• OEM could not test the life of Bearing C (nitrided) to
failure, cost and time was prohibitive.
• Sentient evaluated 3 bearings with different material
microstructures, residual stresses, and microgeometries.
OEM selected nitrided bearings, validating DigitalClone®
Value Assessment:
→ Replaced $650K+ Expense of Equivalent Bearing Fatigue
Tests
→ Replaced 534 Days of Equivalent Bearing Fatigue Tests
→ Quantified Life Extension of the Bearing
DigitalClone Physical Test Data
L10 Life,
Hrs
L50 Life,
Hrs
L90 Life,
Hrs
Weibull
Slope
L10 Life,
Hrs
L50 Life,
Hrs
L90 Life,
Hrs
Weibull
Slope
Baseline 8.91 33.65 78.47 1.418 14.80 38.04 69.43 1.64
Peened 9.035 34.614 81.47 1.403 15.76 47.70 96.63 1.32
Nitrided 140.56 233.66 323.04 1.508 - - - -