- Non|contact sensing for anomaly detection in wind turbine blades🔍
- Non|contact Sensing for Anomaly Detection in Wind Turbine Blades🔍
- [2306.10808] Non|contact Sensing for Anomaly Detection in Wind ...🔍
- Olga Fink on LinkedIn🔍
- Non|Contact Sensing for Anomaly Detection in Wind Turbine Blades🔍
- How FMCW radar and SVDD improve wind turbine blades🔍
- Anomaly Detection on Small Wind Turbine Blades Using Deep ...🔍
- "Anomaly Detection on Wind Turbine Blades Using Aerial Imaging ...🔍
Non|contact sensing for anomaly detection in wind turbine blades
Non-contact sensing for anomaly detection in wind turbine blades
We propose a novel anomaly detection methodology called focus Support Vector Data Description (focus-SVDD).
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades
We propose a novel anomaly detection methodology called focus Support Vector Data Description (focus-SVDD).
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades
This paper enhances the quality assurance of manufacturing utilizing FMCW radar as a non-destructive sensing modality and proposes a novel anomaly detection ...
Non-contact sensing for anomaly detection in wind turbine blades
Non-contact sensing for anomaly detection in wind turbine blades ... Wishing you all a Happy New Year from the IMOS Lab – EPFL! ... In this work we ...
[2306.10808] Non-contact Sensing for Anomaly Detection in Wind ...
The occurrence of manufacturing defects in wind turbine blade (WTB) production can result in significant increases in operation and maintenance costs of ...
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades
The best performance is achieved by SVM algorithms, with 94.3% accuracy. Furthermore, the proposed method can also achieve solid results for ...
Non-contact sensing for anomaly detection in wind turbine blades: A ...
Non-contact sensing for anomaly detection in wind turbine blades: A focus ... The occurrence of manufacturing defects in wind turbine blade (WTB) ...
Olga Fink on LinkedIn: Non-contact sensing for anomaly detection in ...
Olga Fink's Post · Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach · More ...
Non-Contact Sensing for Anomaly Detection in Wind Turbine Blades
Globenewswire, Wind turbine rotor blade market -growth, trends; Daniel Mitchell, A review: Challenges and opportunities for artificial intelligence and ...
How FMCW radar and SVDD improve wind turbine blades | David ...
Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach The occurrence of manufacturing…
Anomaly Detection on Small Wind Turbine Blades Using Deep ...
Wind turbine blade maintenance is expensive, dangerous, time-consuming, and prone to misdiagnosis. A potential solution to aid preventative maintenance is ...
"Anomaly Detection on Wind Turbine Blades Using Aerial Imaging ...
A solution to this problem is to have a drone fly up and take pictures of the blades. Afterwards, these pictures can be processed by a machine learning ...
Anomaly identification of wind turbine blades based on Mel ...
To validate the feasibility of the anomaly identification method, experiments were conducted in a quiet wind tunnel with various blade models ...
Anomaly-based fault detection in wind turbine main bearings - WES
In this work, a fault detection system is developed by applying an anomaly detector based on principal component analysis (PCA), in order to ...
[PDF] Asset Integrity Monitoring of Wind Turbine Blades with Non ...
Non-contact Sensing for Anomaly Detection in Wind Turbine Blades: A focus-SVDD with Complex-Valued Auto-Encoder Approach · Engineering, Materials Science.
OF FAILURE MODES ON WIND TURBINE BLADES [23]
... Due to its non-contact and non-destructive nature, FMCW radar sensors are unaffected by smoke, mist, and fog. FMCW systems can significantly enhance ...
Wind Turbine Anomaly Detection: Harnessing the Power of Data ...
It involves the use of various sensors, data analytics, and machine learning algorithms to identify deviations from normal operating conditions. These anomalies ...
Non-contact sensing for anomaly detection in wind turbine blades
Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach ... Mech. Syst. Signal ...
A focus-SVDD with complex-valued auto-encoder approach
... anomaly detection on wind turbine blade samples. The method ... Fink, 'Non-contact sensing for anomaly detection in wind turbine blades ...
Wind turbines anomaly detection based on power curves and ...
The SCADA systems are used for data collection in wind farms, providing the operational mode information at wind turbine level, which is ...