Abstract
Due to the increase in the number of failures in the wind turbine generators, the condition monitoring system plays a significant role in overcoming the negative effects resulting from the difficult operation conditions. Mechanical and electrical properties can be combined to detect the faults coming from wind turbine generators by analyzing their behavior under different (normal and abnormal) operation conditions. Studying the trend and effect of the electrical torque pulsations on wind turbine generators under different conditions allows for a proper condition monitoring. In this paper, different methodology has been adopted to develop a proper condition monitoring system on the wind generators by evaluating the generator electrical torque based on mechanical torque and taking into account the acceleration torque, which has not been considered in previous work. Using the electric torque with respect to the rotor angular speed of the generator, when it is running under different operation conditions, indicates the generator health, which is the main methodology of the proposed work. A case study, which is based upon collected data from actual measurements, is presented in this work in order to demonstrate the adequacy of the proposed model.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 IEEE PES General Meeting / Conference and Exposition |
| Publisher | IEEE Computer Society |
| Edition | October |
| ISBN (Electronic) | 9781479964154 |
| DOIs | |
| State | Published - Oct 29 2014 |
| Event | 2014 IEEE Power and Energy Society General Meeting - National Harbor, United States Duration: Jul 27 2014 → Jul 31 2014 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Number | October |
| Volume | 2014-October |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Other
| Other | 2014 IEEE Power and Energy Society General Meeting |
|---|---|
| Country/Territory | United States |
| City | National Harbor |
| Period | 7/27/14 → 7/31/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Nuclear Energy and Engineering
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
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