Naipeng Li

发表

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

Yaguo Lei, Asoke K. Nandi, Bin Yang, 2020 .

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

Yaguo Lei, Bin Yang, Naipeng Li, 2020, IEEE Transactions on Industrial Electronics.

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

Yaguo Lei, Biao Wang, Naipeng Li, 2020, IEEE Transactions on Reliability.

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

Yaguo Lei, Jing Lin, Tao Yan, 2018 .

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

Liang Guo, Feng Jia, Yaguo Lei, 2017, Neurocomputing.

Multi-Sensor Data-Driven Remaining Useful Life Prediction of Semi-Observable Systems

Yaguo Lei, Zhijian Wang, Nagi Gebraeel, 2021, IEEE Transactions on Industrial Electronics.

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

Yaguo Lei, Jing Lin, Szymon Gontarz, 2016, IEEE Transactions on Reliability.

Deep separable convolutional network for remaining useful life prediction of machinery

Yaguo Lei, Tao Yan, Biao Wang, 2019 .

A Wiener-Process-Model-Based Method for Remaining Useful Life Prediction Considering Unit-to-Unit Variability

Yaguo Lei, Tao Yan, Naipeng Li, 2019, IEEE Transactions on Industrial Electronics.

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

Yaguo Lei, Naipeng Li, Wenting Wang, 2020, IEEE Transactions on Industrial Electronics.

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

Yaguo Lei, Tao Yan, Nagi Gebraeel, 2021, Reliab. Eng. Syst. Saf..

An Improved Exponential Model for Predicting Remaining Useful Life of Rolling Element Bearings

Yaguo Lei, Jing Lin, Steven X. Ding, 2015, IEEE Transactions on Industrial Electronics.

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

Liang Guo, Yaguo Lei, Tao Yan, 2018, Neurocomputing.

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

Yaguo Lei, Tao Yan, Biao Wang, 2020, Neurocomputing.

Degradation modeling and remaining useful life prediction for dependent competing failure processes

Yaguo Lei, Naipeng Li, Biao Wang, 2021, Reliab. Eng. Syst. Saf..

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

Yaguo Lei, Saibo Xing, Tao Yan, 2019, IEEE Transactions on Industrial Electronics.

RUL prediction of machinery using convolutional-vector fusion network through multi-feature dynamic weighting

Y. Lei, Xiaosheng Si, Xiang Li, 2023, Mechanical Systems and Signal Processing.

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

Yaguo Lei, Naipeng Li, Zijian Qiao, 2019, Mechanical Systems and Signal Processing.

Deep partial transfer learning network: A method to selectively transfer diagnostic knowledge across related machines

Yaguo Lei, Naipeng Li, Chi-Guhn Lee, 2021, Mechanical Systems and Signal Processing.

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

Y. Lei, Shuhui Wang, N. Lu, 2022 .

A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction

Yaguo Lei, Jing Lin, Naipeng Li, 2016, IEEE Transactions on Instrumentation and Measurement.

Online joint replacement-order optimization driven by a nonlinear ensemble remaining useful life prediction method

L. Pintelon, Y. Lei, Xiaosheng Si, 2022, Mechanical Systems and Signal Processing.

Subdomain Adaptation Transfer Learning Network for Fault Diagnosis of Roller Bearings

B. Yang, Zhijian Wang, Naipeng Li, 2022, IEEE Transactions on Industrial Electronics.

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

Xiang Li, Y. Lei, Bin Yang, 2023, IEEE/CAA Journal of Automatica Sinica.

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model

Yaguo Lei, Nagi Gebraeel, Linkan Bian, 2019, Reliab. Eng. Syst. Saf..

Joint maintenance and spare parts inventory optimization for multi-unit systems considering imperfect maintenance actions

Yaguo Lei, Biao Wang, Tao Yan, 2020, Reliab. Eng. Syst. Saf..

Remaining Useful Life Prediction Based on a General Expression of Stochastic Process Models

Liang Guo, Yaguo Lei, Jing Lin, 2017, IEEE Transactions on Industrial Electronics.

A spectral self-focusing fault diagnosis method for automotive transmissions under gear-shifting conditions

Y. Lei, Mingzhong Xu, Xiwei Li, 2023, Mechanical Systems and Signal Processing.

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

Wenhua Du, Naipeng Li, Zhijian Wang, 2021, Process Safety and Environmental Protection.

A new fault diagnosis method based on adaptive spectrum mode extraction

Wenhua Du, Naipeng Li, Zhijian Wang, 2021, Structural Health Monitoring.

Health condition identification of multi-stage planetary gearboxes using a mRVM-based method

Yaguo Lei, Jing Lin, Chen Wu, 2015 .

Deep convolution feature learning for health indicator construction of bearings

Yaguo Lei, Saibo Xing, Naipeng Li, 2017, 2017 Prognostics and System Health Management Conference (PHM-Harbin).

Bearing fault diagnosis method based on similarity measure and ensemble learning

Naipeng Li, Zhijian Wang, Chen Wang, 2021 .

Deep multisource parallel bilinear-fusion network for remaining useful life prediction of machinery

Y. Lei, Xiaosheng Si, Naipeng Li, 2022, Reliab. Eng. Syst. Saf..

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

Y. Lei, Detong Kong, Xiao Cai, 2022 .

Intelligent Machinery Fault Diagnosis With Event-Based Camera

Y. Lei, Bin Yang, Naipeng Li, 2023, IEEE Transactions on Industrial Informatics.

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

Wang Biao, Yan Tao, Lei Yaguo, 2019, Journal of Mechanical Engineering.

A Distance Metric Learning Based Health Indicator for Health Prognostics of Bearings

Yaguo Lei, Naipeng Li, Liang Guo, 2017, 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).

An Optimal-Subdomain Generalization Method for Remaining Useful Life Prediction of Machinery Under Time-Varying Operation Conditions

Xiao-Feng Liu, Naipeng Li, Xiang Li, 2024, IEEE Transactions on Industrial Informatics.

Prognostics and Remaining Useful Life Prediction of Machinery: Advances, Opportunities and Challenges

E. Zio, N. Gebraeel, Y. Lei, 2023, Journal of Dynamics Monitoring and Diagnostics.

RUL Prediction for Two-Phase Degrading Systems Considering Physical Damage Observations

Naipeng Li, Xiao Cai, Min Xie, 2024, Reliability Engineering & System Safety.

A Multimodal Dynamic Parameterized Bilinear Factorized Framework for Remaining Useful Life Prediction under Variational Data

Yuan Wang, Q. Ren, Naipeng Li, 2024, Reliability Engineering & System Safety.

Optimal weight impulse extraction: New impulse extraction methodology for incipient gearbox condition monitoring

Yuan Wang, Q. Ren, Naipeng Li, 2024, Mechanical Systems and Signal Processing.

Targeted transfer learning through distribution barycenter medium for intelligent fault diagnosis of machines with data decentralization

Naipeng Li, Xiang Li, Yaguo Lei, 2023, Expert Syst. Appl..

Self-data-driven Electromechanical Coupling Model Construction of Industrial Robots

Naipeng Li, Xiang Li, Yaguo Lei, 2024, 2024 International Symposium on Intelligent Robotics and Systems (ISoIRS).