## 4 Results  
### Data Collection and Preprocessing  
During the operation of the wind turbine, the SCADA system continuously collects environmental data and operational status parameters of the wind turbine. The types of data collected exceed 100, categorized into discrete data and continuous data. Discrete data comprises operational mode, fault codes, and self-start counts, while continuous data  
Figure 12: Flowchart of the fault warning process. includes wind direction, wind speed, temperature, and active power of the generator. This data is usually stored in a structured format on the wind farm's server for further use. The data composition is shown in Table 1.  
This paper selects two identical wind turbine models, each with a rated capacity of 2 MW, from a wind farm in Xinjiang as the research subjects. The data originates from the turbines' SCADA systems with a sampling interval of 10 min. The main parameters of this type of wind turbine are shown in Table 2.  
The fault log cases for the two units are shown in Table 3. A total of 43,000 operational data points, recorded from turbine #03 between 1 January 2024 and 31 October 2024, are used as the training sample. Turbine #07 is selected as the fault validation case; this unit triggered a protective shutdown at 8:51 AM on 19 October 2024, due to an abnormal rise in its oil sump temperature. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Data Type** & **Data Name** \\ \hline Meteorology & Ambient temperature, Average wind speed, Instantaneous wind speed, Instantaneous wind direction, Average wind direction, Instantaneous wind direction of the wind vane, etc. \\ Environment & Humidity in the tower, Tower base control cabinet temperature, Ambient temperature, Engine room temperature, Cabin humidity, and Cabin control cabinet temperature \\ Spindle & Spindle front bearing temperature, Spindle rear bearing temperature \\ Yaw & Yaw zimuth, Yaw pressure, Engine room direction, Shaft brake hydraulics, Counterclockwise yaw running time, Clockwise yaw running time, etc. \\ Wind turbines & Operating time, Manual downtime, Uptime, Power generation time, Storm downtime, Daily power consumption, Total power generation, Daily power generation, Self-fault downtime, Service time, Working mode, Service time and Fault code, etc. \\ Generator & Generator reactive power, Generator winding temperature, Generator cooling water temperature, Generator front bearing temperature, Generator rear bearing temperature, Generator torque, Generator speed, Generator active power, Generator slip ring room temperature, Generator slip ring room humidity, etc. \\ Grid parameters & Grid frequency, Grid power factor, Grid reactive power, Voltage, Current, Grid active power, etc. \\ Gearbox & Gearbox high-speed shaft front end temperature, Gear high-speed shaft rear end temperature, Gearbox oil pool temperature, Gearbox inlet pressure, Gearbox oil pump outlet pressure, and Gearbox cooling water temperature \\ Frequency converter & Converter voltage, Temperature inside the converter, Converter line current, Converter cooling water temperature, Active power, Average active power, Reactive power, Average reactive power, etc. \\ Wind wheel & Wind wheel speed, Wind wheel speed 1, Wind wheel speed 2, Wind wheel speed difference, and Wind wheel position \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Composition of SCADA data. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Parameter Type** & **Value** & **Parameter Type** & **Value** \\ \hline Rated power & 2 MW & Rated wind speed & 15 m/s \\ Rated voltage & 690 V & Cut-in wind speed & 4 m/s \\ Frequency & 50 Hz & Cut-out wind speed & 25 m/s \\ Wind wheel diameter & 80 m & Gearbox ratio & 1:100.6 \\ Sweeping area & 5027 m\({}^{2}\) & Blade length & 39 m \\ Hub height & 67 m & Pitch range & \(-\)5–90\({}^{\circ}\) \\ \hline \hline \end{tabular}
\end{table} 
Table 2: The main parameters of wind turbines.