相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Fault diagnosis of biological systems using improved machine learning technique
Radhia Fezai et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2021)
Lithium-Ion Battery State-of-Health Estimation Using the Incremental Capacity Analysis Technique
Daniel-Ioan Stroe et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2020)
Online reduced gaussian process regression based generalized likelihood ratio test for fault detection
R. Fezai et al.
JOURNAL OF PROCESS CONTROL (2020)
Lithium-ion battery aging mechanisms and diagnosis method for automotive applications: Recent advances and perspectives
Rui Xiong et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
A data-driven remaining capacity estimation approach for lithium-ion batteries based on charging health feature extraction
Peiyao Guo et al.
JOURNAL OF POWER SOURCES (2019)
Multiscale Gaussian process regression-based generalized likelihood ratio test for fault detection in water distribution networks
R. Fazai et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
Synchronous estimation of state of health and remaining useful lifetime for lithium-ion battery using the incremental capacity and artificial neural networks
Shuzhi Zhang et al.
JOURNAL OF ENERGY STORAGE (2019)
Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Yongzhi Zhang et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2018)
Transfer Boosting With Synthetic Instances for Class Imbalanced Object Recognition
Xuesong Zhang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2018)
Remaining Useful Life Prediction for Lithium-Ion Battery: A Deep Learning Approach
Lei Ren et al.
IEEE ACCESS (2018)
Optimal Transport for Domain Adaptation
Nicolas Courty et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
System state estimation and optimal energy control framework for multicell lithium-ion battery system
Jingwen Wei et al.
APPLIED ENERGY (2017)
State-of-Charge and State-of-Health Lithium-Ion Batteries' Diagnosis According to Surface Temperature Variation
Asmae El Mejdoubi et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Lyapunov-Based Adaptive State of Charge and State of Health Estimation for Lithium-Ion Batteries
Hicham Chaoui et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2015)
Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning
Datong Liu et al.
MEASUREMENT (2015)
On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
Caihao Weng et al.
JOURNAL OF POWER SOURCES (2013)
Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
Datong Liu et al.
MICROELECTRONICS RELIABILITY (2013)
A comparative study of equivalent circuit models for Li-ion batteries
Xiaosong Hu et al.
JOURNAL OF POWER SOURCES (2012)
Prognostics of lithium-ion batteries based on Dempster-Shafer theory and the Bayesian Monte Carlo method
Wei He et al.
JOURNAL OF POWER SOURCES (2011)
Auxiliary health diagnosis method for lead-acid battery
Yu-Hua Sun et al.
APPLIED ENERGY (2010)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
A mathematical model for the lithium-ion negative electrode solid electrolyte interphase
J Christensen et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2004)
Effect of anode film resistance on the charge/discharge capacity of a lithium-ion battery
J Christensen et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2003)
分享论文
