Laifa Tao

发表

Li-ion battery capacity cycling fading dynamics cognition: A stochastic approach

Chen Lu, Jian Ma, Zihan Chen, 2017 .

Performance assessment of hydraulic servo system based on bi-step neural network and autoregressive model

Chen Lu, Hang Yuan, Laifa Tao, 2013 .

Battery capacity degradation prediction using similarity recognition based on modified dynamic time warping

Chen Lu, Laifa Tao, Chao Yang, 2018 .

Artificial Fish Swarm Algorithm-Based Particle Filter for Li-Ion Battery Life Prediction

Chen Lu, Zili Wang, Ye Tian, 2014 .

Rolling bearing health assessment using only normal samples

Chen Lu, Laifa Tao, Lipin Zhang, 2016 .

Prediction on moonlet power system data based on modified probability neural network

Chen Lu, Laifa Tao, Jiahui Luan, 2009, 2009 8th International Conference on Reliability, Maintainability and Safety.

Residual lifetime prediction for lithium-ion battery based on functional principal component analysis and Bayesian approach

Chen Lu, Laifa Tao, Yujie Cheng, 2015 .

Hydraulic Pump Fault Diagnosis Based on Empirical Wavelet Transform and Extreme Learning Machine

Chen Lu, Yu Ding, Laifa Tao, 2018 .

Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach

Jian Ma, Mingliang Suo, Yu Ding, 2019, Adv. Eng. Informatics.

Robust state of charge estimation based on a sequence-to-sequence mapping model with process information

Chen Lu, Zili Wang, Liang Ma, 2020 .

Chen Lu, Laifa Tao, Lipin Zhang, 2016 .

Lithium-Ion Battery Capacity Estimation: A Method Based on Visual Cognition

Chao Yang, Laifa Tao, Yujie Cheng, 2017, Complex..

A hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries

Ning Ma, Jian Ma, Yu Ding, 2021 .

An intelligent approach to machine component health prognostics by utilizing only truncated histories

Chen Lu, Laifa Tao, Huanzhen Fan, 2014 .

Fault diagnosis for bearing based on Mahalanobis-Taguchi system

Jian Ma, Zili Wang, Zhipeng Wang, 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

A review of stochastic battery models and health management

Chen Lu, Jian Ma, Laifa Tao, 2017 .

TF Entropy and RFE Based Diagnosis for Centrifugal Pumps Subject to the Limitation of Failure Samples

Laifa Tao, Hongmei Liu, Xuanyuan Su, 2020, Applied Sciences.

Li-ion battery capacity estimation: A geometrical approach

Chen Lu, Laifa Tao, Huanzhen Fan, 2014 .

Machine component health prognostics with only truncated histories using geometrical metric approach

Minvydas Ragulskis, Chen Lu, Laifa Tao, 2017, Mechanical Systems and Signal Processing.

Lithium-ion battery capacity fading dynamics modelling for formulation optimization: A stochastic approach to accelerate the design process

Chen Lu, Laifa Tao, Yuzhuan Su, 2017 .

A modified reliability model for lithium-ion battery packs based on the stochastic capacity degradation and dynamic response impedance

Chen Lu, Yi Ren, Laifa Tao, 2019, Journal of Power Sources.

Random Forest Based Li-Ion Battery Capacity Prediction Subject to Capacity Recovery Effect

Chen Lu, Laifa Tao, Laifa Tao, 2017, 2017 IEEE Vehicle Power and Propulsion Conference (VPPC).

Rolling bearing fault diagnosis based on health baseline method

Tong Zhang, Kun Li, Chen Lu, 2017 .

Bearing health assessment based on chaotic characteristics

Chen Lu, Qian Sun, Hongmei Liu, 2013 .

Long-term degradation prediction and assessment with heteroscedasticity telemetry data based on GRU-GARCH and MD hybrid method: An application for satellite

Laifa Tao, Chen Lu, Jie Hao, 2021 .

An end-to-end framework for remaining useful life prediction of rolling bearing based on feature pre-extraction mechanism and deep adaptive transformer model

Mingliang Suo, Laifa Tao, Xuanyuan Su, 2021, Comput. Ind. Eng..

Real-time hierarchical risk assessment for UAVs based on recurrent fusion autoencoder and dynamic FCE: A hybrid framework

Mingliang Suo, Laifa Tao, Lizhi Wang, 2021, Appl. Soft Comput..