A platform for research: civil engineering, architecture and urbanism
Failure Prediction of Wind Turbine using Neural Network and Operation Signal
This paper deals with a novel prediction method for wind turbine by using neural network and operating data. As wind turbine transfer wind energy to electrical power energy, its structure has rotation part that capture wind energy, mechanical part, and electrical part that convert from mechanical rotation to electrical energy. Its working environmental situation is so bad like high mountain, sand desert, and offshore to capture good wind situation. Therefore, its control and monitoring should have high reliability for long terms during operation because its maintenance and repairing is very difficult and economically high cost. As wind turbine system is composed of three parts, there are many components that should be monitored to failure. This paper suggests neural network and operation data-based prediction method that can predict components' failure through data comparison and neural network's training function with easy expression of 'Yes' or 'No' for operator.
Failure Prediction of Wind Turbine using Neural Network and Operation Signal
This paper deals with a novel prediction method for wind turbine by using neural network and operating data. As wind turbine transfer wind energy to electrical power energy, its structure has rotation part that capture wind energy, mechanical part, and electrical part that convert from mechanical rotation to electrical energy. Its working environmental situation is so bad like high mountain, sand desert, and offshore to capture good wind situation. Therefore, its control and monitoring should have high reliability for long terms during operation because its maintenance and repairing is very difficult and economically high cost. As wind turbine system is composed of three parts, there are many components that should be monitored to failure. This paper suggests neural network and operation data-based prediction method that can predict components' failure through data comparison and neural network's training function with easy expression of 'Yes' or 'No' for operator.
Failure Prediction of Wind Turbine using Neural Network and Operation Signal
Dong Hwa Kim (author) / Young Sung Kim (author) / Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
2021-11-30
oai:zenodo.org:5751589
International Journal of Recent Technology and Engineering (IJRTE) 10(4) 261-268
Article (Journal)
Electronic Resource
English
DDC:
690
Optimal Wind Turbine Operation by Artificial Neural Network-Based Active Gurney Flap Flow Control
DOAJ | 2019
|Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research
DOAJ | 2023
|BP Neural Network-based Steam Turbine Operation Characteristics Equation
British Library Online Contents | 2002
|American Institute of Physics | 2023
|