A Novel Degradation Identification Method for Wind Turbine Pitch System
| Autor: | Hui-Dong Guo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Earth and Environmental Science. 133:012011 |
| ISSN: | 1755-1315 1755-1307 |
| DOI: | 10.1088/1755-1315/133/1/012011 |
| Popis: | It's difficult for traditional threshold value method to identify degradation of operating equipment accurately. An novel degradation evaluation method suitable for wind turbine condition maintenance strategy implementation was proposed in this paper. Based on the analysis of typical variable-speed pitch-to-feather control principle and monitoring parameters for pitch system, a multi input multi output (MIMO) regression model was applied to pitch system, where wind speed, power generation regarding as input parameters, wheel rotation speed, pitch angle and motor driving currency for three blades as output parameters. Then, the difference between the on-line measurement and the calculated value from the MIMO regression model applying least square support vector machines (LSSVM) method was defined as the Observed Vector of the system. The Gaussian mixture model (GMM) was applied to fitting the distribution of the multi dimension Observed Vectors. Applying the model established, the Degradation Index was calculated using the SCADA data of a wind turbine damaged its pitch bearing retainer and rolling body, which illustrated the feasibility of the provided method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|