Research Article
Wind Turbine Anomaly Identification Based on Improved Deep Belief Network with SCADA Data
Table 1
Condition parameters of the overall health prediction model.
| | Condition parameters (SCADA data) | | WT generator prediction model | WT gearbox prediction model | Whole WT prediction model |
| | GNT. bearing T. (B) | Gearbox oil sump T. | Wind power | | Phase current 1 | Gearbox input shaft T. | GNT. speed | | Phase current 2 | Gearbox inlet oil T. | Rotor speed | | Phase current 1 | Gearbox output shaft T. | GNT. stator winding T. (U) | | GNT. stator winding T. (U) | GNT. speed | GNT. stator winding T. (V) | | GNT. stator winding T. (V) | Rotor speed | GNT. stator winding T. (W) | | GNT. stator winding T. (W) | GNT. stator winding T. (U) | Phase current 1 | | Wind power | GNT. stator winding T. (V) | Phase current 2 | | Wind speed | GNT. stator winding T. (W) | Phase current 3 | | Spindle impeller side T. | Wind power | Inverter torque feedback | | | GNT. bearing T. (B) | GNT. speed feedback | | | Inverter torque feedback | Wind speed | | | GNT. speed feedback | |
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