CLOUD DIAGNOSIS | Providing Predictive Maintenance for Wind Turbines Over Cloud

Summary
At least 3% of wind production downtime due to breakdowns and maintenance problems that can reach up to 40%. This leads to production losses of over €2.9 billion worldwide annually.

Our current SmartCast remotely connects SCADA and sensor data with a virtual database to monitor wind turbines. It involves algorithms based AI, cloud computing and data mining. The SmartGear product is a low cost Condition Monitoring System based on IoT technology which acquires raw data and connects with SmartCast Platform for further processing.

The overall objective of the future Phase II Cloud Diagnosis project is to scale-up our SmartGear technology by introducing communication protocols that allow us to extract data from multiple devices allocated in the wind turbines and additional transducers. Additionally, SmartCast cloud diagnosis algorithms need to be improved.

Our innovative solution will allow faster detection of wind turbine system failures through complex algorithms implementing intelligent sensor fusion, therefore, optimizing the performance of wind turbines. It does not require onsite visits but provides information online. In this way, our technology will be able to:

Reduce wind turbine maintenance cost by 20%: €44 million annually in the Spanish market, €190 million per year in Europe and €440 million annually in the world market.

Reduce wind turbine operation cost and component replacement of cost by 20%: A standard park of 50 MW (16 turbines) installation power working 2,100 hours per year faces production losses of at least €378,000 annually. Our system enables 20% savings of €75,600 (€4,725 per turbine).

Currently, our SmartCast platform processes real-time data from SCADA and sensors by means of SVM (support vector machine) in 300 turbines. Our SmartGear Solution is present in two wind farms and is being rolled out in five more.
Unfold all
/
Fold all
More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/673137
Start date: 01-05-2015
End date: 31-10-2015
Total budget - Public funding: 71 429,00 Euro - 50 000,00 Euro
Cordis data

Original description

At least 3% of wind production downtime due to breakdowns and maintenance problems that can reach up to 40%. This leads to production losses of over €2.9 billion worldwide annually.

Our current SmartCast remotely connects SCADA and sensor data with a virtual database to monitor wind turbines. It involves algorithms based AI, cloud computing and data mining. The SmartGear product is a low cost Condition Monitoring System based on IoT technology which acquires raw data and connects with SmartCast Platform for further processing.

The overall objective of the future Phase II Cloud Diagnosis project is to scale-up our SmartGear technology by introducing communication protocols that allow us to extract data from multiple devices allocated in the wind turbines and additional transducers. Additionally, SmartCast cloud diagnosis algorithms need to be improved.

Our innovative solution will allow faster detection of wind turbine system failures through complex algorithms implementing intelligent sensor fusion, therefore, optimizing the performance of wind turbines. It does not require onsite visits but provides information online. In this way, our technology will be able to:

Reduce wind turbine maintenance cost by 20%: €44 million annually in the Spanish market, €190 million per year in Europe and €440 million annually in the world market.

Reduce wind turbine operation cost and component replacement of cost by 20%: A standard park of 50 MW (16 turbines) installation power working 2,100 hours per year faces production losses of at least €378,000 annually. Our system enables 20% savings of €75,600 (€4,725 per turbine).

Currently, our SmartCast platform processes real-time data from SCADA and sensors by means of SVM (support vector machine) in 300 turbines. Our SmartGear Solution is present in two wind farms and is being rolled out in five more.

Status

CLOSED

Call topic

SIE-01-2014-1

Update Date

27-10-2022
Images
No images available.
Geographical location(s)
Structured mapping
Unfold all
/
Fold all
Horizon 2020
H2020-EU.2. INDUSTRIAL LEADERSHIP
H2020-EU.2.3. INDUSTRIAL LEADERSHIP - Innovation In SMEs
H2020-EU.2.3.1. Mainstreaming SME support, especially through a dedicated instrument
H2020-SMEINST-1-2014
SIE-01-2014-1 Stimulating the innovation potential of SMEs for a low carbon energy system
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.3. SOCIETAL CHALLENGES - Secure, clean and efficient energy
H2020-EU.3.3.0. Cross-cutting call topics
H2020-SMEINST-1-2014
SIE-01-2014-1 Stimulating the innovation potential of SMEs for a low carbon energy system