A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine
出版年份 2021 全文链接
标题
A sample entropy based prognostics method for lithium-ion batteries using relevance vector machine
作者
关键词
Sample entropy, Remaining useful life, Prediction, Relevance vector machine, Linear weighting
出版物
JOURNAL OF MANUFACTURING SYSTEMS
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2021-04-07
DOI
10.1016/j.jmsy.2021.03.019
参考文献
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。- A multi-branch deep neural network model for failure prognostics based on multimodal data
- (2021) Zhe Yang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Prognostic study of ball screws by ensemble data-driven particle filters
- (2020) Yafei Deng et al. JOURNAL OF MANUFACTURING SYSTEMS
- Anomaly monitoring improves remaining useful life estimation of industrial machinery
- (2020) Gurkan Aydemir et al. JOURNAL OF MANUFACTURING SYSTEMS
- Development of an adhesion model for graphite-based lithium-ion battery anodes
- (2020) Nicolas Billot et al. JOURNAL OF MANUFACTURING SYSTEMS
- Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo
- (2020) Maximilian Benker et al. JOURNAL OF MANUFACTURING SYSTEMS
- A Review on Prognostics Methods for Engineering Systems
- (2019) Jian Guo et al. IEEE TRANSACTIONS ON RELIABILITY
- A mean-covariance decomposition method for battery capacity prognostics
- (2018) Shuai Yang et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Improving process robustness in ultrasonic metal welding of lithium-ion batteries
- (2018) Lihang Nong et al. JOURNAL OF MANUFACTURING SYSTEMS
- Bearing remaining useful life prediction based on deep autoencoder and deep neural networks
- (2018) Lei Ren et al. JOURNAL OF MANUFACTURING SYSTEMS
- Machinery health prognostics: A systematic review from data acquisition to RUL prediction
- (2018) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A weighted sparse neighbor representation based on Gaussian kernel function to face recognition
- (2018) Dafeng Ren et al. OPTIK
- Multi-bearing remaining useful life collaborative prediction: A deep learning approach
- (2017) Lei Ren et al. JOURNAL OF MANUFACTURING SYSTEMS
- An online method for lithium-ion battery remaining useful life estimation using importance sampling and neural networks
- (2016) Ji Wu et al. APPLIED ENERGY
- A multiobjective evaluation method for short-term hydrothermal scheduling
- (2016) Wenling Lu et al. IEEJ Transactions on Electrical and Electronic Engineering
- Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods
- (2016) Weihong Guo et al. JOURNAL OF MANUFACTURING SYSTEMS
- A novel health indicator for on-line lithium-ion batteries remaining useful life prediction
- (2016) Yapeng Zhou et al. JOURNAL OF POWER SOURCES
- A method of eliminating the vibration signal noise of hydropower unit based on NA-MEMD and approximate entropy
- (2016) Xueli An et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
- (2015) Meru A. Patil et al. APPLIED ENERGY
- Model selection for degradation-based Bayesian reliability analysis
- (2015) Zhaojun Li et al. JOURNAL OF MANUFACTURING SYSTEMS
- A Bayesian approach for Li-Ion battery capacity fade modeling and cycles to failure prognostics
- (2015) Jian Guo et al. JOURNAL OF POWER SOURCES
- Lithium-ion battery remaining useful life estimation with an optimized Relevance Vector Machine algorithm with incremental learning
- (2015) Datong Liu et al. MEASUREMENT
- A generic model-free approach for lithium-ion battery health management
- (2014) Guangxing Bai et al. APPLIED ENERGY
- Prognostics of Lithium-Ion Batteries Based on Battery Performance Analysis and Flexible Support Vector Regression
- (2014) Shuai Wang et al. Energies
- A support vector machine-based state-of-health estimation method for lithium-ion batteries under electric vehicle operation
- (2014) Verena Klass et al. JOURNAL OF POWER SOURCES
- The Use of Wavelet-Based Denoising Techniques to Enhance the First-Arrival Picking on Seismic Traces
- (2013) Said Gaci IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model
- (2013) Dong Wang et al. JOURNAL OF POWER SOURCES
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Intelligent prognostics for battery health monitoring based on sample entropy
- (2011) Achmad Widodo et al. EXPERT SYSTEMS WITH APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started