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University of Ottawa Electric Motor Dataset – Vibration and Acoustic Faults under Constant and Variable Speed Conditions (UOEMD-VAFCVS)

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Mendeley Data2024-03-27 更新2024-06-26 收录
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The dataset consists of constant and variable speed data collected from 8 different D396 Marathon Electric 3-phase motors. Each motor has different types of faults artificially created by SpectraQuest. Data is collected using three accelerometers and a microphone (the first, third and fourth columns are accelerometer data, the second column is acoustic data, and the fifth column is temperature data). The labelling of data is as follows {Letter}-{Letter}-{Number}-{Number}: The following values represent the possibilities for the first letter: - H indicates healthy - R indicates rotor - S indicates stator - V indicates voltage - B indicates bowed - K indicates broken - F indicates faulty The second letter is represented by the following possible values: - H indicates healthy - U indicates unbalance - M indicates misalignment - W indicates winding - R indicates rotor - A indicates rotor bars - B indicates bearing The combination of both letters indicates the health state of the motor present in the data sample (e.g. H-H = a healthy motor, S-W = a stator winding fault). The first number represents: - 1 is for a constant speed of 15 Hz - 2 is for a constant speed of 30 Hz - 3 is for a constant speed of 45 Hz - 4 is for a constant speed of 60 Hz - 5 is for an increasing speed from 15 Hz to 45 Hz - 6 is for an increasing speed from 30 Hz to 60 Hz - 7 is for a decreasing speed from 45 Hz to 15 Hz - 8 is for a decreasing speed from 60 Hz to 30 Hz The second number represents: - 0 for a no load condition - 1 for a loaded condition The duration of data collection was 10 seconds at a sampling frequency of 42 kHz. Each file contains 420,000 samples. Raw data is provided in the folders as comma separated values files (.csv) and MATLAB files (.mat).

本数据集采集自8台不同的D396型Marathon Electric三相电机的恒速与变速运行数据。所有电机的各类故障均由SpectraQuest人工诱发。数据采集采用三台加速度传感器(accelerometers)与一台麦克风(microphone),其中第1、3、4列为加速度传感器数据,第2列为声学数据,第5列为温度数据。 数据采用"{字母}-{字母}-{数字}-{数字}"的格式进行标注,各组成部分含义如下: 1. 首字母可选取值及对应含义: - H:健康(healthy) - R:转子(rotor) - S:定子(stator) - V:电压异常(voltage) - B:轴弯曲(bowed) - K:断裂(broken) - F:故障(faulty) 2. 次字母可选取值及对应含义: - H:健康 - U:不平衡(unbalance) - M:轴系不对中(misalignment) - W:绕组故障(winding) - R:转子故障(rotor) - A:转子导条故障(rotor bars) - B:轴承故障(bearing) 上述两个字母的组合代表对应数据样本中电机的健康状态,例如H-H代表健康电机,S-W代表定子绕组故障。 3. 第一个数字的含义: - 1:恒速15 Hz - 2:恒速30 Hz - 3:恒速45 Hz - 4:恒速60 Hz - 5:转速从15 Hz升至45 Hz - 6:转速从30 Hz升至60 Hz - 7:转速从45 Hz降至15 Hz - 8:转速从60 Hz降至30 Hz 4. 第二个数字的含义: - 0:空载工况 - 1:负载工况 本次数据采集时长为10秒,采样频率为42 kHz,单个文件包含420000个采样点。原始数据以逗号分隔值文件(.csv)与MATLAB文件(.mat)的格式存储于对应文件夹中。
创建时间:
2024-01-23
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集由渥太华大学发布,专注于电机故障诊断,包含从8台三相电机收集的振动、声学和温度数据,覆盖健康及多种人为故障类型。数据在恒定和变速条件下采集,采样频率高(42 kHz),标签系统详细编码了电机状态、速度和负载信息,适用于机器学习模型训练和故障检测研究。
以上内容由遇见数据集搜集并总结生成
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