Naipeng Li

发表

Remaining Useful Life Prediction of Machinery Subjected to Two-Phase Degradation Process

Yaguo Lei, Tao Yan, Naipeng Li, 2018, 2018 IEEE International Conference on Prognostics and Health Management (ICPHM).

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

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

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

Yaguo Lei, Jing Lin, Tao Yan, 2018 .

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

Yaguo Lei, Jing Lin, Chen Wu, 2015 .

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..

Two new features for condition monitoring and fault diagnosis of planetary gearboxes

Yaguo Lei, Zhengjia He, Jing Lin, 2015 .

Machine remaining useful life prediction considering unit-to-unit variability

Yaguo Lei, Jing Lin, Naipeng Li, 2017, 2017 IEEE International Conference on Prognostics and Health Management (ICPHM).

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition

Yaguo Lei, Jing Lin, Naipeng Li, 2013, Sensors.

Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

Yaguo Lei, Naipeng Li, Wenting Wang, 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.

A Hybrid Transfer Learning Method for Fault Diagnosis of Machinery under Variable Operating Conditions

Yaguo Lei, Bin Yang, Naipeng Li, 2019, 2019 Prognostics and System Health Management Conference (PHM-Qingdao).

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.

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

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

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

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

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).

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

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

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.

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 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.

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

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

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

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

Fault Detection of Planetary Gearboxes Based on an Adaptive Ensemble Empirical Mode Decomposition

Yaguo Lei, Jing Lin, Naipeng Li, 2015 .

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

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

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.

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.

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.

An improved fusion prognostics method for remaining useful life prediction of bearings

Biao Wang, Yaguo Lei, Jing Lin, 2017, 2017 IEEE International Conference on Prognostics and Health Management (ICPHM).

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..

Deep separable convolutional network for remaining useful life prediction of machinery

Yaguo Lei, Tao Yan, Biao Wang, 2019 .

A nonlinear degradation model based method for remaining useful life prediction of rolling element bearings

Yaguo Lei, Jing Lin, Saibo Xing, 2015, 2015 Prognostics and System Health Management Conference (PHM).

Incipient Fault Detection for Rolling Element Bearings under Varying Speed Conditions

Yaguo Lei, Naipeng Li, Ningbo Li, 2017, Materials.

Remaining Useful Life Prediction Based on Deep Residual Attention Network

Yaguo Lei, Naipeng Li, Tianyu Han, 2019, 2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC).

An effective tracking system based on Wi-Fi trajectory matching

Yuchun Guo, Naipeng Li, Yishuai Chen, 2015, 2015 IEEE 9th International Conference on Anti-counterfeiting, Security, and Identification (ASID).

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).

A particle filtering-based approach for remaining useful life predication of rolling element bearings

Yaguo Lei, Jing Lin, Naipeng Li, 2014, 2014 International Conference on Prognostics and Health Management.

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.

Bearing fault diagnosis method based on similarity measure and ensemble learning

Naipeng Li, Zhijian Wang, Chen Wang, 2021 .

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

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

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.

Ice Detection Method by Using SCADA Data on Wind Turbine Blades

Yaguo Lei, Detong Kong, Qingchao Liu, 2018 .