World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
42
Citations
15798
World Ranking
1775
National Ranking
217

Best Publications

  • Applications of machine learning to machine fault diagnosis: A review and roadmap

    Yaguo Lei;Bin Yang;Xinwei Jiang;Feng Jia

  • Machinery health prognostics: A systematic review from data acquisition to RUL prediction

    Yaguo Lei;Naipeng Li;Liang Guo;Ningbo Li

  • A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

    Biao Wang;Yaguo Lei;Naipeng Li;Ningbo Li

  • A recurrent neural network based health indicator for remaining useful life prediction of bearings

    Liang Guo;Naipeng Li;Feng Jia;Yaguo Lei

  • A Model-Based Method for Remaining Useful Life Prediction of Machinery

    Yaguo Lei;Naipeng Li;Szymon Gontarz;Jing Lin

  • Deep separable convolutional network for remaining useful life prediction of machinery

    Biao Wang;Yaguo Lei;Naipeng Li;Tao Yan

  • Applications of stochastic resonance to machinery fault detection: A review and tutorial

    Zijian Qiao;Yaguo Lei;Yaguo Lei;Naipeng Li

  • Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery

    Biao Wang;Yaguo Lei;Tao Yan;Naipeng Li

  • XJTU-SY Rolling Element Bearing Accelerated Life Test Datasets: A Tutorial

    Unknown

  • Machinery health indicator construction based on convolutional neural networks considering trend burr

    Liang Guo;Yaguo Lei;Naipeng Li;Tao Yan

  • A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines

    Bin Yang;Yaguo Lei;Feng Jia;Naipeng Li

  • Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings

    Zhijian Wang;Xinxin He;Bin Yang;Naipeng Li

  • Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

    Biao Wang;Yaguo Lei;Naipeng Li;Wenting Wang

  • Data-driven fault diagnosis method based on the conversion of erosion operation signals into images and convolutional neural network

    Unknown

  • Intelligent Machinery Fault Diagnosis With Event-Based Camera

    Unknown

  • Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks

    Unknown

  • A new fault diagnosis method based on adaptive spectrum mode extraction

    Unknown

  • Remaining useful life prediction based on a multi-sensor data fusion model

    Naipeng Li;Naipeng Li;Nagi Gebraeel;Yaguo Lei;Xiaolei Fang

  • A label description space embedded model for zero-shot intelligent diagnosis of mechanical compound faults

    Saibo Xing;Yaguo Lei;Shuhui Wang;Na Lu

  • A self-data-driven method for remaining useful life prediction of wind turbines considering continuously varying speeds

    Naipeng Li;Pengcheng Xu;Yaguo Lei;Xiao Cai

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