World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
36
Citations
4337
World Ranking
2568
National Ranking
313

Best Publications

  • Sub‐PCA modeling and on‐line monitoring strategy for batch processes

    Ningyun Lu;Furong Gao;Fuli Wang

  • Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes

    Chunhui Zhao;Fuli Wang;Ningyun Lu;Mingxing Jia

  • A Descriptor System Approach for Estimation of Incipient Faults With Application to High-Speed Railway Traction Devices

    Yunkai Wu;Bin Jiang;Ningyun Lu

  • Deep PCA Based Real-Time Incipient Fault Detection and Diagnosis Methodology for Electrical Drive in High-Speed Trains

    Hongtian Chen;Bin Jiang;Ningyun Lu;Zehui Mao

  • Stage-based process analysis and quality prediction for batch processes

    Ningyun Lu;Furong Gao

  • Two-dimensional dynamic PCA for batch process monitoring

    Ningyun Lu;Yuan Yao;Furong Gao;Fuli Wang

  • An improved incipient fault detection method based on Kullback-Leibler divergence.

    Unknown

  • A Data-Driven Aero-Engine Degradation Prognostic Strategy

    Cunsong Wang;Ningyun Lu;Yuehua Cheng;Bin Jiang

  • Prediction Interval Estimation of Aeroengine Remaining Useful Life Based on Bidirectional Long Short-Term Memory Network

    Chuang Chen;Ningyun Lu;Bin Jiang;Yin Xing

  • A Risk-Averse Remaining Useful Life Estimation for Predictive Maintenance

    Chuang Chen;Ningyun Lu;Bin Jiang;Cunsong Wang

  • Dynamic Long Short-Term Memory Neural-Network- Based Indirect Remaining-Useful-Life Prognosis for Satellite Lithium-Ion Battery

    Unknown

  • Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems

    Hongtian Chen;Bin Jiang;Steven X. Ding;Ningyun Lu

  • Combination method of principal component and wavelet analysis for multivariate process monitoring and fault diagnosis

    Ningyun Lu;Fuli Wang;Furong Gao

  • Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis

    Unknown

  • Quality prediction based on phase-specific average trajectory for batch processes

    Chunhui Zhao;Fuli Wang;Zhizhong Mao;Ningyun Lu

  • Multirate dynamic inferential modeling for multivariable processes

    Ningyun Lu;Ningyun Lu;Yi Yang;Furong Gao;Fuli Wang

  • Model Fusion and Multiscale Feature Learning for Fault Diagnosis of Industrial Processes

    Unknown

  • A Newly Robust Fault Detection and Diagnosis Method for High-Speed Trains

    Hongtian Chen;Bin Jiang;Ningyun Lu

  • Adaptive Monitoring Based on Independent Component Analysis for Multiphase Batch Processes with Limited Modeling Data

    Chunhui Zhao;Fuli Wang;Zhizhong Mao;and Ningyun Lu

  • Data-driven and deep learning-based detection and diagnosis of incipient faults with application to electrical traction systems

    Hongtian Chen;Bin Jiang;Tianyi Zhang;Ningyun Lu

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