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| Content Provider | IET Digital Library |
|---|---|
| Author | Wang, Yue Infield, David |
| Abstract | Offshore wind energy is catching increasing worldwide interest. However, access and maintenance offshore can be difficult and will be more costly than onshore, and hence, availability is correspondingly lower. As a result, there is a growing interest in wind turbine condition monitoring with condition-based rather than responsive and scheduled maintenance. A non-linear state estimation technique (NSET) model is presented here to model a healthy wind turbine gearbox using stored historical data. These data capture the inter-relationship between the model input and output parameters. The state vectors comprising the data should cover as much as turbine operational range, including the extreme conditions in order to obtain an accurate model performance. A model so constructed can be applied to assess the operational data. Welch's t-test is employed in the fault detection algorithm, together with suitable time series filtering, to identify incipient anomalies in the turbine gearbox before they develop into catastrophic faults. Two case studies based on 10-minute supervisory control and data acquisition data from a commercial wind farm are presented to demonstrate the model's effectiveness. Comparison is made with neural network modelling, and the NSET approach is demonstrated to be superior. |
| Starting Page | 350 |
| Ending Page | 358 |
| Page Count | 9 |
| ISSN | 17521416 |
| Volume Number | 7 |
| e-ISSN | 17521424 |
| Issue Number | Issue 4, Jul (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/7/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2012.0215 |
| Journal | IET Renewable Power Generation |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Catastrophic Fault Civil And Mechanical Engineering Computing Condition Monitoring Fault Detection Algorithm Fault Diagnosis Healthy Wind Turbine Gearbox Maintenance And Reliability Maintenance Engineering Mechanical Component Mechanical Engineering Mechanical Engineering Application of IT Mechanical Engineering Computing Neural Computing Technique Neural Nets Neural Network Modelling Nonlinear Estimation Nonlinear State Estimation Technique NSET Model Offshore Maintenance Plant Engineering, Maintenance And Safety Power And Plant Engineering Power Engineering Computing SCADA System Statistics Stored Historical Data Supervisory Control And Data Acquisition Data System Time Series Turbine Operational Range Welch T-test Wind Farm Wind Power Plant Wind Turbine Wind Turbine Gearbox Condition Monitoring |
| Content Type | Text |
| Resource Type | Article |
| Subject | Renewable Energy, Sustainability and the Environment |
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