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.

该合成数据集由巴西联邦圣埃斯皮里图索大学（Universidade Federal do Espírito Santo，简称UFES）电力电子与电气驱动实验室（Laboratório de Eletrônica de Potência e Acionamento Elétrico，简称LEPAC）研制。该数据集基于对三相鼠笼式感应电动机模型的计算机仿真生成，并在转子中引入了故障，具体为断条故障。带有断条故障的感应电动机数学模型参照文献[1]。数据集的生成采用了26台感应电动机的实测数据作为计算模型的输入参数，从而形成了包含390种不同模拟场景的数据集。对于每台感应电动机，模拟了5种故障场景，断条数量在0（健康转子）至4（4根断条）之间变化。此外，每个场景均在3种负载水平（额定扭矩的50%、75%和100%）下进行模拟。26台感应电动机的数据以PDF格式提供，与数据集压缩文件一同提供。文件保存为.mat格式，其命名规范为（MX.rYb.torqueZ.mat），其中X代表感应电动机的标识（X = 1:26），Y代表断条数量（Y = 0:4），Z表示感应电动机的负载百分比（Z= 50, 75, 100）。例如，M3.r2b.torque50.mat的命名规范对应于3号感应电动机在2根断条和50%额定负载扭矩下的数据。所有模拟均遵循以下方法进行：感应电动机在无负载状态下启动，直至达到稳态，随后设置每个模拟的负载扭矩。对于所有感应电动机的所有场景，在模拟50秒后均达到负载稳态。保存在.mat文件中的数据为三相电动机电流和以8kHz采样频率的仿真时间步长。

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26台电机在5种断条故障和3种负载水平下的390种仿真场景，数据以.mat格式存储，包含三相电流和8kHz采样的时间步长信息。