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Multisensor contrast neural network for remaining useful life prediction of rolling bearings under scarce labeled data
Regular Papers | Updated：2025-07-28

    • Multisensor contrast neural network for remaining useful life prediction of rolling bearings under scarce labeled data

      Enhanced Publication
    • 标签数据稀缺下基于多传感器对比神经网络的滚动轴承剩余使用寿命预测
    • “In the field of intelligent manufacturing, predicting the remaining useful life (RUL) of bearings under scarce labeled data is crucial. Expert proposed a multisensor contrast method for RUL prediction under scarce RUL-labeled data, which provides solutions to solve the problem of similar behaviors in different degradation stages in multisensor scenarios.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 26, Issue 7, Pages: 1180-1193(2025)

    • DOI：10.1631/FITEE.2400753    

      CLC： TP277; TP311

    • Received：29 August 2024，

      Revised：2024-12-30，

      Published：2025-07

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  • Binkun LIU, Zhenyi XU, Yu KANG, et al. Multisensor contrast neural network for remaining useful life prediction of rolling bearings under scarce labeled data[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(7): 1180-1193. DOI： 10.1631/FITEE.2400753.

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