# Adaptive Abnormal Oil Temperature Diagnosis Method of Transformer Based on Concept Drift
## 2 Materials and Methods  
### Dataset of the Transformer's Working Condition and Oil Temperature  
The oil temperature working condition dataset of the oil-immersed transformer recorded the parameters related to the operation of the oil-immersed transformer. These parameters included the timestamp of working condition data (OCCUR_TIME); active power of the high-voltage side, medium-voltage side, and low-voltage side (YG_YC_G/Z/D); reactive power of the high-voltage, medium-voltage, and low-voltage side (WG_YC_G/Z/D); power factor of the high-voltage, medium-voltage, and low-voltage side (COS_G/Z/D); AC current RMS value of the high-voltage, medium-voltage, and low-voltage side (I_YC_G); winding temperature of the A/B/C phase (RZWDA/B/C_YC); and the oil temperature of the A/B/C phase (YWA/B/C_YC). The sample period was 5 min. The specific explanation of the above parameters related to the transformer is shown in Table 1:  
The external environment of the transformer can conspicuously influence the heat radiation of the transformer, such as the rise of the transform's restraining tempera  
\begin{table}
\begin{tabular}{c c} \hline \hline
**Label** & **Description** \\ \hline Transformer & 220 KV AC oil-immersed main power transformers with 3 windings; rated power: 120 MVA \\ \hline OCCUR\_TIME & Timestamp ID of real-time working conditional record at specified timepoint \\ \hline YG\_YC\_G/Z/D & 3 measured values of active power from power load monitoring equipment at the high-voltage side, medium-voltage side, and low-voltage side respectively \\ \hline WG\_YC\_G/Z/D & 3 measured values of reactive power from power load monitoring equipment at the high-voltage side, medium-voltage side, and low-voltage side, respectively \\ \hline COS\_G/Z/D & 3 measured values of reactive power from power monitoring equipment at the high-voltage side, medium-voltage side, and low-voltage side, respectively \\ \hline I\_YC\_G/Z/D & RMS value of the AC current from power load monitoring equipment at the high-voltage side, medium-voltage side, and low-voltage side, respectively \\ \hline RZWDA/B/C\_YC & 3 values of temperature from the monitoring sensors at windings of the A phase, B phase, and C phase, respectively \\ \hline YWA/B/C\_YC & 3 values of temperature from the monitoring sensors at top-level oil of the A phase, B phase, and C phase, respectively \\ \hline \hline \end{tabular}
\end{table}
Table 1: Description of the transformer’s parameters.  
ture due to cold and windy weather. Therefore, in this paper, the weather data at the location of the transformer were also taken into consideration as important parameters, including the timestamp of weather data (OCCUR_TIME), local temperature (TEMPERATURE), highest temperature of the day (HIGH_TEMPERATURE), lowest temperature of the day (LOW_TEMPERATURETEM), rainfall capacity (RAIN), wind direction (WIND_DIRECTION), wind velocity (WIND_VELOCITY), pressure (PRESURE), and humidity (HUMIDITY). The sample period was 5 min. The specific explanation of the above parameters related to the weather data is shown in Table 2:  
The formal expression of the dataset for the abnormal oil temperature abnormal diagnosis of transformer in information system is \(\text{IS}=\{(\text{X},\text{Y})\}\), where X are the attributes of working conditions with weather data and Y are the decision attributes, which are oil temperature from the sensors measurement at 1 phase of the transformer.