scholarly journals Development of a light-weight, wind-turbine-rotor-based data acquisition system

1998 ◽  
Author(s):  
Dale Berg ◽  
Mark Rumsey ◽  
Perry Robertson ◽  
Neil Kelley ◽  
Ed McKenna ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Wind Turbine ◽  
Data Acquisition System ◽  
Turbine Rotor ◽  
Acquisition System ◽  
Light Weight ◽  
Wind Turbine Rotor

scholarly journals Alarms management by supervisory control and data acquisition system for wind turbines

2021 ◽  
Vol 23 (1) ◽  
pp. 110-116
Author(s):  
Isaac Segovia Ramirez ◽  
Behnam Mohammadi-Ivatloo ◽  
Fausto Pedro García Márquez
Keyword(s):  
Data Acquisition ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Supervisory Control ◽  
Principal Component ◽  
Data Acquisition System ◽  
Fault Detection And Diagnosis ◽  
Acquisition System ◽  
False Alarms ◽  
Original Dataset

Wind energy is one of the most relevant renewable energy. A proper wind turbine maintenance management is required to ensure continuous operation and optimized maintenance costs. Larger wind turbines are being installed and they require new monitoring systems to ensure optimization, reliability and availability. Advanced analytics are employed to analyze the data and reduce false alarms, avoiding unplanned downtimes and increasing costs. Supervisory control and data acquisition system determines the condition of the wind turbine providing large dataset with different signals and alarms. This paper presents a new approach combining statistical analysis and advanced algorithm for signal processing, fault detection and diagnosis. Principal component analysis and artificial neural networks are employed to evaluate the signals and detect the alarm activation pattern. The dataset has been reduced by 93% and the performance of the neural network is incremented by 1000% in comparison with the performance of original dataset without filtering process.

Sign in / Sign up

Export Citation Format

Share Document