Aresse Engineering is a company that provides engineering services including data acquisition, analysis, and monitoring for industries like wind energy. They have grown from 9 engineers in 2007 to over 20 staff members today. To address challenges of big data, Aresse developed tools like XDAS for acquisition, Hivex for data transfer, and a cloud platform called Hive for storage, analysis, and visualization of data. These tools allow customers to access massive amounts of synchronized measurement data. Machine learning and physical models are areas of ongoing development to enhance data quality.

1. Big Data Europe workshop
DATA MANAGMENT CHALLENGES
GORKA GAINZA
TECHNICAL MANAGER
ggainza@aresse.com
+34 659 252 212

2. ARESSE
ARESSE ENGINEERING:
WHO ARE WE?
ENGINEERING - LABORATORY
DYNAMIC - VIBRATION – ACOUSTIC
WIND INDUSTRY - ROTARY MACHINERY

3. ARESSE
END OF
2007
MID
2016
END
2013
 MORE THAN 250 ENGINEERING PROJECTS
 60 NOISE IEC REPORTS

MILESTONES
9 ENGINEERS – based on a single location
Managing / Customer
Analysis and Reports
Tool development
4 TECHNICIANS – travelling worldwide
On Site Monitoring
BEG.
2010
END
2012
ARESSE ENGINEERING:
LITTLE BIT OF HISTORY…
GROWTH
2013 – 12%
2014 – 20%
2015 – 27%
2016 – 25%

4. ARESSE
ARESSE ENGINEERING:
SOME OF OUR ADVENTURES…

5. ARESSE
VALIDATION CAMPAINGS
 TEST RIGS
 PROTOTYPES
TYPE TESTING
 IEC 61400/11
 GEARBOX TEST
CONDITION MONITORING
 CMS development
 Data Management
DYNAMICS VIBRATION ACOUSTICS
 Modal caracterization and
correlation
 Vibration Monitoring
Campaings Failure analysis
 Vibrational fatigue test
SUPPORT AT DESIGN AND
VALIDATION
TOOLS DEVELOPMENT FOR
CUSTOMIZED REQUIREMENTS
TRAINNING AND
EDUCATION
 FEM, fatigue calculation
 System identification
 Event Monitoring
 Vibroacoustic simulations
 Noise monitoring
 Noise source identification
ARESSE ENGINEERING:
SOME OF OUR SERVICES

6. ARESSE
 How can we get immidiate access to massive amount of data?
 How can we be sure that we have measured correctly
everything which is needed?
 How can we deal with different sources of data?
 How can we get maximum information out of the data?
 How can we compare the data with patterns and references?
BIG DATA
VOLUME
VELOCITY
VARIETY
VERACITY
ARESSE ENGINEERING:
CHALLANGES TO PROMOTE OUR SERVICES
BUSINESS
MODEL
CUSTOMER
LET’S DEVELOP A PLATFORM, CUSTOMIZED TO OUR
PROCESSES, AND LET’S OPEN THE DATA AND
THE TOOLS TO OUR CUSTOMERS

7. ARESSE
 BIG DATA APPROACH
MANIPULATING DATA vs
LEARNING FROM DATA
 DATA INTEGRATION
PROTOTYPE + OPERATION
 OPEN AND
MULTIPORPUSE
ARESSE ENGINEERING:
HOW WE DECIDED TO WORK?

8. ARESSE
XDAS ACQUISITION TOOL
 Programmed in Labview for windows
based platforms continous monitoring
 Ability to synchronize different
devices such as plc’s, dataloggers,
third party products and our standard
NI electronic
 Data analysis during monitorization.
Customize algorithms based on block
diagram scheme. Filtering, Virtual
channels, Statistics, FFT, order
analysis.
 Predefined templates and calibration
for IEC tests and repetive projects
 Storage Strategy: Relational Database
linked to Raw data
ARESSE ENGINEERING:
SOME OF OUR TOOLS ON THE FIELD

9. ARESSE
HIVEX EXTRACTION TOOL
 Programmed in C#
 Defined to transfer local data into
the cloud. Database information is
sent using web services (Json
format). Raw data stored in tdms
files is sent via FTP protocol
 Customer is asked to open several
ports to cloud reception service IP.
The communication is stablished
and the data transfer is
authenticated.
 To be able to analyze raw data as
soon as it is generated a
priorization strategy is
implemented, and the end user can
select the level of priority of each
tdms file
ARESSE ENGINEERING:
SOME OF OUR CONNECTION TOOLS

10. ARESSE
HIVE CLOUD STORAGE AND ANALYSIS TOOL
 Storage Services. Data locally
postprocessed is storaged in
ElasticSearch linked to a file storage
service for the raw data.
 A Management Service to allow the
user interaction with data is defined.
Its persistance is based on MySQL
 Analizer Service, so far developed in
JAVA, has been implemented to
execute over the data some
algorithms including some IEC tests
and other fault / Characterization
tools.
 Several Access Points to the cloud
are defined: Reception Service, Web
Access Web browser access
implemented on AngularJS
ARESSE ENGINEERING:
SOME OF OUR CLOUD TOOLS

11. ARESSE
CAMPAIGNS – WORKSPACES –
DASHBOARDS – WIDGETS
 Data Viewer, data check, classification,
filtering, correlation…
 Usefull for Continuous and Event
monitoring
ARESSE ENGINEERING:
SOME OF OUR CLOUD TOOLS

12. ARESSE
RAW DATA VIEWER AND
ANALYZER.
 Raw Data Viewer. Labelling.
Reproduction
 Tools for time and frequency
domains
 Downloading
ARESSE ENGINEERING:
SOME OF OUR CLOUD TOOLS

13. ARESSE
DATABASE VIEWER. STATISTICAL
REGRESSIONS
 Data grouped for visualization
 Bins based statistical parameters
 Reporting and comparisons
ARESSE ENGINEERING:
SOME OF OUR CLOUD TOOLS

14. ARESSE
IEC ANALIZER
 Templates for algorithm parametrization
 According to standard calculation
procedures
 Complete analysis and reporting
ARESSE ENGINEERING:
SOME OF OUR CLOUD TOOLS

15. ARESSE
ARESSE ENGINEERING:
SOME OF OUR CLOUD TOOLS
DYNAMIC ANALIZER
 Spectral and Angular domain sorting and averaging tools based on binarized data

16. ARESSE
ARESSE ENGINEERING:
DEVELOPING CHALLENGES
MACHINE LEARNING
 First approach using classification
and regression algorithms to:
 Identify and quantify different
control versions in terms of
noise
 Identify the main vibration
parameters producing
abnormal dynamic behaviours
 Bringing Phyton into the cloud
PHYSICAL MODELS and VIRTUAL SENSORS
 Kalman filters – Introducing into the monitoring loop the information of the physical
parameters and dynamic response models to enhance the data quality

17. GORKA GAINZA
TECHNICAL MANAGER
ggainza@aresse.com
+34 659 252 212
ARESSE ENGINEERING
THANK YOU !!