Dataset for Early Detection of ITSC Faults in PMSMs
收藏资源简介:
The published dataset contains the following: faulted_PMSM_data.mat - identified flux maps of a faulted Prius PMSM extracted from FEA-simulation (4-D with the size of 11x11x11x61) simulation_data.zip - transient simulation data (6667 records of dq-currents) training_data.zip - DWT features extracted from the simulation data and experimental data ( Wavelet levels for 6667 sample) Transformer_Classifier.ipynb - Transformer model with training loop In the transient simulation the naming convention is the following: healthy: simulation_results_hlth_Mload_XX.X_n_YYY_step_time_ZZZ_speed_step.mat, where X is the load, Y is the speed and Z is the time where the transient happened faulted: simulation_results_Rf_XX_Mload_YYY_n_ZZZ_phW_speed_step.mat, where X is the fault resistance, Y is the load, Z is the speed and W is the faulted phase index ( 1 - U, 2 -V, 3 - W) In the training data, each csv is a given wavelet level for every sample . The "exp" notation means that it is extracted from experimental data. Detailed description can be found in the paper: " Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features" (https://dx.doi.org/XXX).
本已发布数据集包含以下内容: - faulted_PMSM_data.mat:故障型普锐斯(Prius)永磁同步电机(PMSM)的已识别磁通映射图,数据源自有限元分析(FEA)仿真,为4维数据集,尺寸为11×11×11×61。 - simulation_data.zip:瞬态仿真数据集,包含6667组dq轴电流记录。 - training_data.zip:从仿真数据与实验数据中提取的离散小波变换(DWT)特征,对应6667个样本的小波层级。 - Transformer_Classifier.ipynb:搭载训练循环的Transformer模型脚本。 瞬态仿真文件的命名规范如下: - 健康工况文件命名格式:simulation_results_hlth_Mload_XX.X_n_YYY_step_time_ZZZ_speed_step.mat,其中X代表负载幅值,Y代表电机转速,Z代表瞬态工况发生时刻。 - 故障工况文件命名格式:simulation_results_Rf_XX_Mload_YYY_n_ZZZ_phW_speed_step.mat,其中X代表故障电阻阻值,Y代表负载幅值,Z代表电机转速,W代表故障相索引(1对应U相、2对应V相、3对应W相)。 训练数据中,每个CSV文件对应全体样本的某一指定小波层级;文件名中带有"exp"标识的,表示该数据源自实验采集。 数据集详细说明可参阅论文《基于Transformer模型与瞬态时频特征的永磁同步电机匝间短路(ITSC)早期检测》(Early Detection of ITSC Faults in PMSMs Using Transformer Model and Transient Time-Frequency Features)(链接:https://dx.doi.org/XXX)。



