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正交约束域适应的跨工况滚动轴承剩余使用寿命预测方法

韩延 林志超 黄庆卿 向敏 文瑞 张焱

韩延, 林志超, 黄庆卿, 向敏, 文瑞, 张焱. 正交约束域适应的跨工况滚动轴承剩余使用寿命预测方法[J]. 电子与信息学报, 2024, 46(3): 1043-1050. doi: 10.11999/JEIT230274
引用本文: 韩延, 林志超, 黄庆卿, 向敏, 文瑞, 张焱. 正交约束域适应的跨工况滚动轴承剩余使用寿命预测方法[J]. 电子与信息学报, 2024, 46(3): 1043-1050. doi: 10.11999/JEIT230274
HAN Yan, LIN Zhichao, HUANG Qingqing, XIANG Min, WEN Rui, ZHANG Yan. A Domain Adaptive Method with Orthogonal Constraint for Predicting the Remaining Useful Life of Rolling Bearings under Cross Working Conditions[J]. Journal of Electronics & Information Technology, 2024, 46(3): 1043-1050. doi: 10.11999/JEIT230274
Citation: HAN Yan, LIN Zhichao, HUANG Qingqing, XIANG Min, WEN Rui, ZHANG Yan. A Domain Adaptive Method with Orthogonal Constraint for Predicting the Remaining Useful Life of Rolling Bearings under Cross Working Conditions[J]. Journal of Electronics & Information Technology, 2024, 46(3): 1043-1050. doi: 10.11999/JEIT230274

正交约束域适应的跨工况滚动轴承剩余使用寿命预测方法

doi: 10.11999/JEIT230274
基金项目: 国家重点研发计划(2022YFE0114300),重庆市教委科学技术研究项目(KJQN202100612),重庆市博士后科学基金(cstc2021jcyj-bshX0094)
详细信息
    作者简介:

    韩延:男,讲师,研究方向为装备智能运维、深度学习、边缘计算

    林志超:男,硕士生,研究方向为装备智能运维与健康管理

    黄庆卿:男,副教授,研究方向为工业物联网、边缘计算、机械故障预测与健康管理

    向敏:男,教授,研究方向为工业测控和工业物联网等

    文瑞:男,硕士生,研究方向为装备智能运维与健康管理

    张焱:男,副教授,研究方向为工业互联网与边缘智能、工业大数据等

    通讯作者:

    黄庆卿 huangqq@cqupt.edu.cn

  • 中图分类号: TN911.7; TH165.3

A Domain Adaptive Method with Orthogonal Constraint for Predicting the Remaining Useful Life of Rolling Bearings under Cross Working Conditions

Funds: National Key Research and Development Program of China (2022YFE0114300), Science and Technology Research Program of Chongqing Municipal Education Commission (KJQN202100612), Chongqing Postdoctoral Science Foundation (cstc2021jcyj-bshX0094)
  • 摘要: 针对跨工况轴承剩余使用寿命(RUL)预测模型的决策边界不明显、特征可辨识性低的问题,该文提出一种正交约束的最大分类器差异方法(MCD_OC)。首先,将采集的轴承原始振动信号进行快速傅里叶变换,得到振动信号的频域信号作为模型的输入;然后,通过卷积神经网络(CNN)和门控循环神经网络(GRU)提取轴承信号的深层时空特征,利用最大分类器差异将源域和目标域特征对齐,并对目标域轴承深层特征进行正交约束,增大无标签目标域样本特征之间的可辨识性;最后,基于轴承寿命数据集开展了跨工况轴承寿命预测对比实验,对该文所提方法进行评估,并在多组实验中取得最优结果。
  • 图  1  普通的域适应方法和最大分类器差异

    图  2  对目标域特征正交约束增大特征差异

    图  3  MCD_OC 网络结构

    图  4  正交约束域适应的跨工况滚动轴承剩余使用寿命预测方法流程

    图  5  轴承2-1的时域信号和归一化后的频域信号

    图  6  不同方法在不同任务下的轴承寿命预测结果对比

    表  1  轴承运行的3种不同工况

    变量工况1工况2工况3
    压力(N)400042005000
    转速(r/min)180016501500
    下载: 导出CSV

    表  2  MCD_OC试验数据集

    任务源域训练集目标域训练集测试集
    工况1→工况2(C12)轴承1-1~1-7轴承2-1,2-2轴承2-6
    工况1→工况3(C13)轴承1-1~1-7轴承3-1,3-2轴承3-3
    工况2→工况1(C21)轴承2-1~2-7轴承1-1,1-2轴承1-7
    工况2→工况3(C23)轴承2-1~2-7轴承3-1,3-2轴承3-3
    工况3→工况1(C31)轴承3-1~3-3轴承1-1,1-2轴承1-7
    工况3→工况2(C32)轴承3-1~3-3轴承2-1,2-2轴承2-6
    下载: 导出CSV

    表  3  模型参数

    网络层参数激活函数
    卷积层1, BN卷积核大小7×1,数量 80,步长1ReLU
    最大池化层1大小 8×1,步长8\
    卷积层2, BN卷积核大小5×1,数量160,步长1ReLU
    最大池化层2大小8×1,步长1\
    卷积层3, BN卷积核大小3×1,数量 320,步长1ReLU
    最大池化层3大小4×1,步长1\
    GRU输出维度 1440\
    全连接层1神经元个数128,Dropout 0.5\
    全连接层2神经元个数32,Dropout 0.5\
    全连接层3神经元个数1\
    下载: 导出CSV

    表  4  MCD_OC和对比模型的预测结果

    方法评价指标C12C13C21C23C31C32平均值
    DDCMAE0.1790.1180.2240.2120.1600.3070.200
    RMSE0.2180.1360.2580.2460.2080.3540.237
    DANNMAE0.1200.0700.2710.2270.1660.4130.211
    RMSE0.1490.0920.3110.2570.2130.4420.244
    CORALMAE0.1460.0650.2300.1980.1620.4140.202
    RMSE0.1670.0800.2690.2380.2340.4350.237
    DDC_OCMAE0.1740.0800.1840.1950.1600.3230.186
    RMSE0.2090.1160.2230.2190.2100.3630.223
    MCD_DAMAE0.1250.0680.2290.2170.1650.3850.198
    RMSE0.1500.0860.2740.2530.2190.4260.235
    MCD_OCMAE0.1170.0840.1630.1780.1600.2020.151
    RMSE0.1440.1060.2200.2160.2080.2340.188
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-04-17
  • 修回日期:  2023-07-14
  • 网络出版日期:  2023-07-21
  • 刊出日期:  2024-03-27

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