SMARTIVE proposes developing a decision support system tool to help Iberdrola monitor asset health and prevent failures in critical turbine components before, during, and after storms. The tool would provide long-term failure prediction over 90 days and short-term storm failure prediction of 60 minutes using SMARTIVE's predictive analytics platform and integrating weather data. This would allow operators to make informed decisions, such as preventatively disconnecting turbines at risk of extreme loads, in order to minimize storm damage across wind farms and other renewable assets.

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SMARTIVE proposal for Iberdrola - Storm

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SMARTIVE - Storm
• SMARTIVE is an innovative company in Data Analytics & Performance Analysis, mainly
focused on Wind turbines and with the vision to extend to other assets in the energy
& renewable space.
• SMARTIVE Technology and capabilities includes, Big Data & Data Analytics, Machine
Learning, IoT, AI, Deep Learning, Cloud Computing & Multibody simulations.
• SMARTIVE solutions helps to identify the critical components, estimating the Damage
Equivalent Loads (DEL) & Remaing Useful Life (RUL) in order to optimize the operation.
• SMARTIVE is working on Fault Tolerant control to adjust the amount of load over the
wind farms to increase their live.
• IBERDROLA - STORM Challenge in the Damage Prevention area aims to find solutions
to monitor electric facilities before the storm happens.

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SMARTIVE proposal for Iberdrola - Storm
• SMARTIVE propose the development of an innovative DSS tool to solve the STORM challenge through the
adaptation of the existing SmartSCADA prediction capability to monitor the Health, DEL & RUL of critical
components before, during and after the storm occurs.
• With this new tool the asset operator will have a valuable information about the asset to decide, for example,
to preventively disconnect one (or more) turbine avoiding extreme or damaging loads before the action of the
existing protections .
• The Storm solution will include:
• Long Term Failure Prediction (90 days) for critical components in the drive train, pitch & Yaw
• Short Term Storm failure (60 min) for lighting & extreme wind conditions
• SMARTIVE will introduce Alarms, Warnings and Fault Tolerant Control tips, Decision Support System (DSS).
• SMARTIVE - STORM solution is based on the following:
• Perform a PoC in three different sites
• Preferably renewable wind farms but open to other assets (solar,…)
• Use of SMARTIVE predictive tool and team expertise as a main platform
• Integration of Weather prediction tools as an input of SMARTIVE platform
• Integration in Iberdrola asset tools, protocols and operation needs.

4. Company Purpose
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Faster detection of
turbine system
failures
WT production
downtime: 3-30%
(average 10-15%)
Production losses over
15 B€ worldwide
Complex
algorithms
Intelligent
sensor fusion
20% reduction of
turbine maintenance
costs
3 B€ / year
worldwide
Company dedicated to develop Software and
Cloud based solutions to monitor, diagnose
and control Wind Turbines

5. Identifying the Problem
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WindFarm 1, 18 GBX Failures in 8 Years WindFarm 1, 6 Generator Failures in 2 years
WindFarm2, 43 GBX Failures in 16 Years
WindFarm2, 11 Generator Failures in 3 Years
Replacement
Costs:
- GBX 260 k€
- GEN 150 k€
Repair Costs:
- GBX 60-160 k€
- GEN 30-90 k€
- Crains 10 k€
- 5-14 days
stoped
During the Storm
the components
gets stressed
Lightning on
Blades

6. Big Data Platform
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Relational
Database
Wind Standard
Files .csv
API
Daily
Registers
The SmartSCADA Platform integrates data from:
- Standard SCADA
- IoT Sensors
- Weather Forecast
SmartSCADA is a cloud based solution
Failure prediction models combine techniques of:
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Data Mining
Weather predictions integrating data from:
- Meteorological Platforms
- Lightning prediction
- On-line ground measurement
A Decision Support System (DSS) to improve the
operation will be provided

7. Diagnosis Spaces
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Same wind turbine in same wind farm just separated
200m performs slightly different!!!!!
Furhländer, Main Bearing, Failure
Analyzing Data coming from the SCADA system is it possible to
define Failure regions.
By combining the data this spaces rise up clearly and can be
detected by classifier algorithms.

8. Non-Linear Classifiers
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n General idea: the original input space can always be mapped
to some higher-dimensional feature space where the training
set is separable:
Φ: x → φ(x)
Visual analysis (to reports)
Data pre-processing
(training and test datasets)
Classifier bank
(Naïve Bayes, Bayes Net, PLM, NN, SVM,
Random Forest, Random Tree, etc.)
Evaluation on
Training data
Visualization

9. Classifier Out-Put
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Escambrons:
- Multiplicadora A502 @ 18 de enero 2016 Aviso continuo a partir del 1 de enero 2016
Escambrons:
- Multiplicadora A502 @ 18 de enero 2016 Aviso continuo a partir del 1 de enero 2016
• The predictions are delivered in real-time
• The Health estimation and the failure probability
increases just before the failure
• SMARTSCADA is capable to provide alarms 90 days
before the failure
• SMARTIVE Proposal for IBERDROLA-STORM consist in
install a predictive and prognosis solution to prevent
major failures during the Storm.
• The platform will be capable from one side to identify
critical components and from other side to provide tips
to mitigate potential damages.
• The DSS will help to optimize the operations during the
Storm

10. DEL & RUL
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The Damage Equivalent Load (DEL) & the Remaining Useful Life
(RUL) are useful indicators to estimate the potential failure risk
in each component.
Each failure, or critical event increases the DEL value and
reduces the RUL. Nevertheless maintenance actions reduce the
risk of failure, so decreases the DEL level and increases the RUL

11. Short Term STORM Prediction, Lighting
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The STORM evolution can be easily tracked by different applications. SMARTIVE is capable to integrate data
coming from:
- Electric Field Mills
- Radio Frequency (RF) Detectors
- Meteorological Radar
- On-line ground measurements
The integration of this data improves the Decision Support System

12. Conclusions
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To avoid potential damages due to the Storm, failure anticipation is key
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By using classifiers and combining data SMARTIVE is
capable to reach promising diagnosis & prognosis
results.
DSS development is key to optimize operations
Failures in WT due to Storms produces enormous losses
Storm conditions increases the stress on all WT components
Field Test has been carried on more than 3.000 WT
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The technology can be applied to other renewal energy
facilities, PV, Thermosolar, Substations…
SMARTSCADA 2.0 IS OUR FLAGSHIP PROJECT