Synthetic Dataset for Induction Motor Broken Rotor Bar Analysis

The synthetic dataset was developed in the Power Electronics and Electrical Drive Laboratory (Laboratório de Eletrônica de Potência e Acionamento Elétrico – LEPAC, in portuguese) at the Federal University of Espírito Santo (UFES), Brazil. The dataset was generated from a computer simulation of a three-phase squirrel cage induction motor model with the insertion of faults in the rotor, specifically broken bars. The induction motor mathematical model with broken bar fault is based on reference [1].Real data from 26 induction motors are used as input parameters the adopted computational model, making it possible to generate a dataset containing 390 different simulated scenarios. For each induction motor, 5 fault scenarios are simulated, varying the number of broken bars between 0 (healthy rotor) and 4 broken bars. Furthermore, each scenario was simulated under 3 load levels (50%, 75% and 100% of nominal torque). The data from the 26 induction motors is available in a PDF provided together with the dataset in the compressed file. The files are saved in .mat format with the following nomenclature (MX.rYb.torqueZ.mat) where X refers to the induction motor identification (X = 1:26), Y refers to the number of broken bars (Y = 0:4) and Z indicates the percentage loading of the induction motor (Z= 50, 75, 100). Therefore, the nomenclature M3.r2b.torque50.mat, for example, corresponds to the data of induction motor 3 with 2 broken bars and 50% of nominal load torque. All simulations were carried out according to the following methodology. The induction motor is started with no load until it reaches steady state and, subsequently, the load torque for each simulation is set. In all scenarios for all induction motors, the steady state with load is reached after 50 seconds of simulation. The data saved in the .mat files are the three-phase motor currents and the simulation time step at a sampled frequency of 8kHz.

本合成数据集由巴西圣埃斯皮里图联邦大学（Federal University of Espírito Santo，简称UFES）电力电子与电气传动实验室（葡萄牙语全称为Laboratório de Eletrônica de Potência e Acionamento Elétrico，简称LEPAC）开发。该数据集基于三相笼型感应电动机模型的计算机仿真生成，模型中植入了转子故障，具体为断条故障。带断条故障的感应电动机数学模型参考文献[1]。研究团队采用26台感应电动机的实测数据作为所采用的计算模型的输入参数，由此生成包含390种不同仿真场景的数据集。针对每台感应电动机，设置了5种故障工况，断条数量在0（转子健康状态）至4根之间变动。此外，每种工况均在3种负载水平下开展仿真，分别为额定转矩的50%、75%与100%。26台感应电动机的相关参数可在压缩包内随数据集一同提供的PDF文件中查阅。数据集文件以.mat格式存储，命名规则为`MX.rYb.torqueZ.mat`，其中X代表感应电动机编号（X取值范围1~26），Y代表断条数量（Y取值范围0~4），Z代表感应电动机的负载百分比（Z取值为50、75、100）。例如，文件名`M3.r2b.torque50.mat`对应编号为3的感应电动机，存在2根断条且负载转矩为额定值50%的工况数据。所有仿真均遵循以下流程：先将感应电动机空载启动直至达到稳态，随后设置对应工况的负载转矩。针对所有感应电动机的所有仿真场景，均在仿真运行50秒后达到带载稳态。.mat文件中保存的数据为三相电动机电流与采样频率8kHz下的仿真时间步长数据。

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断条故障分析的合成数据集，包含基于26台电机参数模拟的390种故障场景，涵盖不同断条数量和负载条件下的三相电流数据，采样频率为8kHz。数据集由巴西圣埃斯皮里图联邦大学开发，以.mat格式存储，适用于电机故障诊断研究。