Towards a hybrid approach for diagnostics and prognostics of planetary gearboxes

<br>Data measured for the completion of masters in mechanical engineering thesis "Towards a hybrid approach for diagnostics and prognostics of planetary gearboxes" under the supervision of Prof P.S. Heyns and Dr S. Schmidt.<br>The data set consist of accelerometer measurements on the gearbox housing of a planetary gearbox with varying degrees of seeded damage.<br>README.md:# Folders and files<br>- g1_crack: Gear 1, 8 different damage states (crack lengths) tested at different operating conditions.<br> - .MAT files contain the measured data. G1 refers to gear 1, P refers to the testing phase or degree of damage (crack length) tested at.<br> - G1_microscope_images is a folder with photos of the gear with different crack lengths tested.<br>- g2_crack: Gear 2, 6 different damage states at different operating conditions.<br> - .MAT files contain the measured data. G2 refers to gear 2, P refers to the testing phase or degree of damage<br> (crack length) tested at.<br> - G2_microscope_images is a folder with photos of the gear with different crack lengths tested.<br>- missing_tooth: Data for a planet gear with a missing planet gear tooth.<br> This dataset's original purpose was to see if it is possible to grow a crack in one of the gear teeth in situ (It<br> was not possible).<br> There is, therefore, in addition to the missing gear teeth, one of the gear teeth that is cracked (crack depth ~20%<br> of gear width).<br> However, the vibration response is dominated by the excitation due to the missing tooth.<br> - compare_healthy_with_missing_tooth: Two example datasets measured in healthy and damaged condition.<br> Provides simple way to get exposed to the diagnostics problem for planetary gearboxes. This dataset is valuable for learning how about how a fault manifests in the vibration response of a planetary gearbox.<br> However, there are independent variables (see below) that are not kept constant between the healthy and damaged cases. Therefore, these datasets should only be used as a convenient introduction to the planetary gearbox diagnostics problem,<br> and not for publication.<br><br> -Healthy.h5 is the vibration response of the gearbox in healthy condition, but the gearbox housing is not yet modified<br> as is the case with the missing_tooth.h5 dataset (See dissertation).<br> The vibration signature of the housing may therefore be slightly different from the missing tooth dataset. However, this<br> likely has negligible influence considering the severity of the damage.<br> -The datasets in this example are chosen specifically to have similar measured RPM values.<br><br># Information<br>Data is gathered for a planetary gearbox with a single planet gear to simplify detection of the damage.<br> The shaft key, as detected by the magnetic pickup, is aligned with the planet gear.<br> The planetary gearbox is the Bonfiglioli 300-L 1-5.77-PC-V01 B·E, with 13 sun gear teeth, 24 planet gear teeth and<br> 62 ring gear teeth. Gear ratio:5.77.<br><br> For more information, please consult the dissertation "Towards a hybrid approach for diagnostics and prognostics of<br> planetary gearboxes" or contact Douw Marx at [e-mail].<br><br># Folders<br>-h5: Data in .h5 format<br>-raw: Data in original format as measured<br>-load_data_with_python: Simple script to easily load the .h5 data with Python.<br> <br> For more information, please consult the dissertation "Towards a hybrid approach for diagnostics and prognostics of<br> planetary gearboxes" (https://repository.up.ac.za/) (https://repository.up.ac.za/handle/2263/78157) or contact Douw Marx at [e-mail].<br><br># Attribute Information:<br>All channels measured, in order:<br>1. 'Time': Time [s]<br>2. 'Acc_Carrier': Carrier side accelerometer [m/s^2]<br>3. 'Acc_Sun': Carrier side accelerometer [m/s^2]<br>4. 'Tacho_Carrier': Zebra tape tacho encoder on carrier-side<br>5. 'Tacho_Sun': Zebra tape tacho encoder on sun-side<br>6. '1PR_Mag_Pickup': Magnetic pickup <br>7. 'T_amb': Ambient temperature [Celsius]<br>8. 'T_oil': Oil temperature [Celsius]<br>9. 'Torque': Motor current proportional to applied torque<br><br><br># Code<br>For data processing code see https://github.com/DouwMarx/Hybrid_Approach_To_Planetary_Gearbox_Prognostics<br><br><br>

本数据集为完成机械工程硕士学位论文《面向行星齿轮箱故障诊断与剩余寿命预测的混合方法》（Towards a hybrid approach for diagnostics and prognostics of planetary gearboxes），在P.S. Heyns教授与S. Schmidt博士指导下采集的实测数据。

本数据集包含对带有不同程度人工预制损伤（seeded damage）的行星齿轮箱（planetary gearbox）箱体的加速度计（accelerometer）实测数据。

# README.md：文件夹与文件说明
- g1_crack：齿轮1，在不同运行工况下测试了8种不同损伤状态（裂纹长度）。
- 配套的.MAT文件存储实测数据，其中G1指代齿轮1，P指代测试阶段或当前测试的损伤程度（裂纹长度）。
- G1_microscope_images文件夹包含对应不同裂纹长度的被测齿轮显微照片。
- g2_crack：齿轮2，在不同运行工况下测试了6种不同损伤状态。
- 配套的.MAT文件存储实测数据，其中G2指代齿轮2，P指代测试阶段或当前测试的损伤程度（裂纹长度）。
- G2_microscope_images文件夹包含对应不同裂纹长度的被测齿轮显微照片。
- missing_tooth：带有缺齿的行星齿轮实测数据。
本数据集最初用于验证是否可原位在齿轮齿上生成裂纹（最终未成功）。因此除缺齿外，其中一个齿轮齿还带有裂纹（裂纹深度约为齿轮宽度的20%）。不过该振动响应主要受缺齿激励主导。
- compare_healthy_with_missing_tooth：包含健康状态与损伤状态下的两组示例数据集，可快速上手行星齿轮箱故障诊断问题的研究，有助于理解故障在行星齿轮箱振动响应中的表现形式。
但该组数据集的自变量（详见下文）在健康与损伤工况下未保持恒定，因此仅可作为行星齿轮箱故障诊断问题的便捷入门示例，不可用于学术发表。
- Healthy.h5：健康状态下齿轮箱的振动响应数据，但此时齿轮箱箱体尚未像missing_tooth.h5数据集那样进行改装（详见学位论文）。因此箱体的振动特征可能与缺齿数据集存在细微差异，但考虑到损伤的严重程度，该差异的影响可忽略不计。
- 本示例数据集均选取了相近的实测转速（RPM）值。

# 数据集说明
本数据集采集自单行星轮行星齿轮箱，以简化故障检测流程。磁电式转速传感器（magnetic pickup）检测到的轴键与行星齿轮对齐。
所用行星齿轮箱型号为Bonfiglioli 300-L 1-5.77-PC-V01 B·E，太阳轮齿数为13，行星轮齿数为24，齿圈齿数为62，传动比为5.77。

如需更多信息，请查阅学位论文《面向行星齿轮箱故障诊断与剩余寿命预测的混合方法》，或联系Douw Marx，邮箱：[e-mail]。

# 文件夹结构
- h5：存储.h5格式的数据集
- raw：存储原始采集格式的实测数据
- load_data_with_python：用于通过Python快速加载.h5数据的简易脚本

如需更多信息，请查阅学位论文《面向行星齿轮箱故障诊断与剩余寿命预测的混合方法》（https://repository.up.ac.za/）（https://repository.up.ac.za/handle/2263/78157），或联系Douw Marx，邮箱：[e-mail]。

# 属性信息
所有测量通道按顺序如下：
1. Time：时间 [单位：秒（s）]
2. Acc_Carrier：行星架侧加速度计数据 [单位：米每二次方秒（m/s²）]
3. Acc_Sun：太阳轮侧加速度计数据 [单位：米每二次方秒（m/s²）]
4. Tacho_Carrier：行星架侧斑马带转速编码器（zebra tape tacho encoder）数据
5. Tacho_Sun：太阳轮侧斑马带转速编码器数据
6. 1PR_Mag_Pickup：单脉冲磁电式转速传感器数据
7. T_amb：环境温度 [单位：摄氏度（℃）]
8. T_oil：润滑油温度 [单位：摄氏度（℃）]
9. Torque：与加载转矩成正比的电机电流数据

# 代码
相关数据处理代码可参见：https://github.com/DouwMarx/Hybrid_Approach_To_Planetary_Gearbox_Prognostics