Lifeng Wu

发表

Review of the Remaining Useful Life Prognostics of Vehicle Lithium-Ion Batteries Using Data-Driven Methodologies

Yong Guan, Lifeng Wu, Xiaohui Fu, 2016 .

A Virtual Sample Generation Method Based on Differential Evolution Algorithm for Overall Trend of Small Sample Data: Used for Lithium-ion Battery Capacity Degradation Data

Yong Guan, Lifeng Wu, Zhen Peng, 2019, IEEE Access.

A new deterioration model for electrolytic capacitors in direct current to direct current (DC-DC) converters

Yong Guan, Lifeng Wu, Guohui Wang, 2012 .

A novel data-driven method for predicting the circulating capacity of lithium-ion battery under random variable current

Lifeng Wu, Tingting Xu, Zhen Peng, 2021 .

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Wiener Processes with Considering the Relaxation E ff ect

Lifeng Wu, Xiaosheng Si, Shengjing Tang, 2019 .

Lithium-ion Battery Degradation and Capacity Prediction Model Considering Causal Feature

Lifeng Wu, Yong Guan, Zhen Peng, 2022, IEEE Transactions on Transportation Electrification.

Life prediction model of lithium-ion batteries in the early-cycle stage based on convolutional long short-term memory with attention mechanism

Lifeng Wu, Chen Zhang, 2022, 2022 IEEE 20th International Conference on Industrial Informatics (INDIN).

Development of a Method for Selection of Effective Singular Values in Bearing Fault Signal De-Noising

Lifeng Wu, Yong Guan, Lifeng Wu, 2016 .

Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data

Nannan Zhang, Jing Yang, Yong Guan, 2018, Sensors.

Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

Ran Zhang, Yong Guan, Lifeng Wu, 2017, IEEE Access.

A method for capacity prediction of lithium-ion batteries under small sample conditions

Lifeng Wu, Yong Guan, Guoqing Kang, 2022, Energy.

Prognostics of battery cycle life in the early-cycle stage based on hybrid model

Lifeng Wu, Zhen Peng, Yu Zhang, 2021 .

The capacity estimation and cycle life prediction of lithium-ion batteries using a new broad extreme learning machine approach

Yong Guan, Lifeng Wu, Zhen Peng, 2020 .

An introduction to the variable neighborhood and the related adaptive determination algorithm

Wei Pan, Yong Guan, Lifeng Wu, 2013, 2013 IEEE International Conference on Granular Computing (GrC).

The analysis of power fault mode based on discrepancy relation

Lifeng Wu, Yong Guan, Wei Pan, 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

Bearing Remaining Useful Life Prediction Based on Naive Bayes and Weibull Distributions

Nannan Zhang, Yong Guan, Zhonghua Wang, 2018, Entropy.

A State of Health Estimation Framework for Lithium-Ion Batteries Using Transfer Components Analysis

Yong Guan, Lifeng Wu, Bowen Jia, 2019, Energies.

A New Perspective on Formation of Haze-Fog: The Fuzzy Cognitive Map and Its Approaches to Data Mining

Lifeng Wu, Zhen Peng, Lifeng Wu, 2017 .

An adaptive threshold algorithm for sensor fault based on the grey theory

Lifeng Wu, Zhen Peng, Yong Guan, 2017 .

Editorial Guest Editorial Introduction to the Focused Section on Real-Time Monitoring, Diagnosis, and Prognosis and Health Management for Electric Vehicles

Lifeng Wu, M. Al Janaideh, R. Palhares, 2023, IEEE/ASME Transactions on Mechatronics.

A hybrid drive method for capacity prediction of lithium-ion batteries

Lifeng Wu, Zhen Peng, Tingting Xu, 2021, IEEE Transactions on Transportation Electrification.

A Data-Driven Method With Mode Decomposition Mechanism for Remaining Useful Life Prediction of Lithium-Ion Batteries

Lifeng Wu, Jianguo Wang, Yingzhou Wang, 2022, IEEE Transactions on Power Electronics.

Rolling Element Bearing Fault Diagnosis Using Improved Manifold Learning

Yong Guan, Lifeng Wu, Beibei Yao, 2017, IEEE Access.

A method for capacity estimation of lithium-ion batteries based on adaptive time-shifting broad learning system

Lifeng Wu, Guoqing Kang, Meng Zhang, 2021 .

Fault Diagnosis of Roller Bearings Based on a Wavelet Neural Network and Manifold Learning

Lifeng Wu, Zhen Peng, Yong Guan, 2017 .

RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment

Lifeng Wu, Huimei Yuan, Jun Zhu, 2019, IEEE Access.

State-of-Health Estimation for Lithium-Ion Batteries Based on Wiener Process With Modeling the Relaxation Effect

Xiao-Sheng Si, Xiaodong Xu, Chuanqiang Yu, 2019, IEEE Access.

Online Sensor Fault Detection Based on an Improved Strong Tracking Filter

Lijuan Wang, Yong Guan, Lifeng Wu, 2015, Sensors.

Research on Degradation Modeling and Life Prediction Method of Lithium-Ion Battery in Dynamic Environment

Tingting Xu, Yong Guan, Lifeng Wu, 2019, IEEE Access.

Hybrid state of charge estimation for lithium-ion battery under dynamic operating conditions

Yu Peng, Lifeng Wu, Datong Liu, 2019, International Journal of Electrical Power & Energy Systems.

Modified Local Linear Embedding Algorithm for Rolling Element Bearing Fault Diagnosis

Lifeng Wu, Jia Su, Yong Guan, 2017 .

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Wiener Processes with Considering the Relaxation Effect

Xiaoyan Sun, Xiao-Sheng Si, Chuanqiang Yu, 2019, Energies.

Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence

Ran Zhang, Yong Guan, Zhen Peng, 2017, Sensors.

Classification of bearing data based on deep belief networks

Ran Zhang, Lifeng Wu, Xiaohui Fu, 2016, 2016 Prognostics and System Health Management Conference (PHM-Chengdu).

Remaining useful life prognostic of power metal oxide semiconductor field effect transistor based on improved particle filter algorithm

Lifeng Wu, Jing Yang, Zhen Peng, 2017 .

Manifold Regularization Graph Structure Auto-Encoder to Detect Loop Closure for Visual SLAM

Yong Guan, Lifeng Wu, Zhonghua Wang, 2019, IEEE Access.

A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current

Yong Guan, Lifeng Wu, Zhen Peng, 2021 .

An Equivalent Circuit Model for Lithium Battery of Electric Vehicle considering Self-Healing Characteristic

Lifeng Wu, Huimei Yuan, Zhen Peng, 2018, J. Control. Sci. Eng..

On-line fault-diagnosis study: Model-based fault diagnosis for ultracapcitors

Xiaojuan Li, Lifeng Wu, Guohui Wang, 2014, 2014 Prognostics and System Health Management Conference (PHM-2014 Hunan).

The Supercapacitor Degradation State Diagnostic System Based on LabVIEW

Wei Pan, Xiaojuan Li, Yong Guan, 2013, Int. J. Online Eng..

Analysis of the Degradation of MOSFETs in Switching Mode Power Supply by Characterizing Source Oscillator Signals

Lifeng Wu, Yong Guan, Lifeng Wu, 2013 .

A hybrid data-driven method for rapid prediction of lithium-ion battery capacity

Lifeng Wu, Jiabei He, Yi Tian, 2022, Reliab. Eng. Syst. Saf..