Frequency Occurrence Plots for Motor Fault Diagnosis based on Image Recognition

The dataset has 150 three-second sampling motor current signals from each synthetically-prepared motors. There are five motors with respective fault condition - bearing axis deviation (F1), stator coil inter-turn short circuit (F2), rotor broken strip (F3), outer bearing ring damage (F4), and healthy (H). The motors are run under five coupling loads - 0, 25, 50, 75, and 100%. The sampling signals are collected and processed into frequency occurrence plots (FOPs). Each image has a label, for example F2_L50_130, where F2 is the fault condition, L50 is the coupling load condition. and 130 is the index of motor current signal. A total of 3,750 FOPs which can be used for motor fault diagnosis through image recognition problem.

搜集汇总

背景与挑战

背景概述

该数据集包含3750个频率出现图（FOPs），用于电机故障诊断的图像识别研究。数据集涵盖了五种故障条件和五种耦合负载条件，适用于深度学习等技术的应用。