A Fault Recognition Dataset for Eccentricity Faults in a Rotor-Eccentric Induction Motor

A fault recognition dataset generated from a Magnetic Equivalent Circuit Model [1, 2] of a Cantoni 2SIE80-2B with a wye configuration at 230V and 50kHz and applied torque varying between 0Nm and 1.3Nm. The dataset contains 31,920 instances, divided into 25,530 for training and 6,390 for testing. It includes the stator currents, applied phase voltages, rotor speed, and rotor angle, all sampled at 5000Hz with windows of 256 samples. Check the README.txt file for further details about this dataset.
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[1] P. Desenfans, Z. Gong, D. Vanoost, D. Pissoort, A Python Magnetic Equivalent Circuit Model for Rapid Data Generation of Induction Motors in Faulty Conditions. KU Leuven, Bruges, 2024.
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[2] P. Desenfans, Z. Gong, D. Vanoost, K. Gryllias, J. Boydens, D. Pissoort, The influence of the unbalanced magnetic pull on fault-induced rotor eccentricity in induction motors. Journal of Vibration and Control. 2023.

本故障识别数据集基于Cantoni 2SIE80-2B型电机的磁等效电路模型（Magnetic Equivalent Circuit Model）[1, 2]生成，该电机采用星形接线（wye configuration）方式，额定参数为230V、50kHz，施加转矩范围为0Nm至1.3Nm。本数据集共包含31920个样本，其中训练集25530个，测试集6390个。数据集涵盖定子电流、施加相电压、转子转速及转子角位置四类数据，所有数据均以5000Hz的采样率采集，并采用长度为256个样本的滑动窗口进行划分。如需获取该数据集的更多详细信息，请查阅README.txt文件。

[1] P. Desenfans, Z. Gong, D. Vanoost, D. Pissoort. 面向故障工况感应电机快速数据生成的Python磁等效电路模型[R]. 鲁汶大学（KU Leuven）布鲁日分校, 2024.
[2] P. Desenfans, Z. Gong, D. Vanoost, K. Gryllias, J. Boydens, D. Pissoort. 不平衡磁拉力对感应电机故障诱发转子偏心的影响[J]. 振动与控制杂志（Journal of Vibration and Control）, 2023.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于感应电机转子偏心故障识别的专用数据集，基于磁等效电路模型生成，包含31,920个实例，分为训练和测试集。数据涵盖定子电流、相电压、转子速度和角度等关键参数，采样频率为5000Hz，适用于状态监测和时间序列分析研究。