A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries
出版年份 2016 全文链接
标题
A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries
作者
关键词
-
出版物
SHOCK AND VIBRATION
Volume 2016, Issue -, Pages 1-15
出版商
Hindawi Limited
发表日期
2016-04-12
DOI
10.1155/2016/3838765
参考文献
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- (2015) Dong Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An equivalent cyclic energy indicator for bearing performance degradation assessment
- (2014) Dong Wang et al. JOURNAL OF VIBRATION AND CONTROL
- Remaining useful life estimation based on nonlinear feature reduction and support vector regression
- (2013) T. Benkedjouh et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Health assessment and life prediction of cutting tools based on support vector regression
- (2013) T. Benkedjouh et al. JOURNAL OF INTELLIGENT MANUFACTURING
- 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
- On-board state of health monitoring of lithium-ion batteries using incremental capacity analysis with support vector regression
- (2013) Caihao Weng et al. JOURNAL OF POWER SOURCES
- An ensemble model for predicting the remaining useful performance of lithium-ion batteries
- (2013) Yinjiao Xing et al. MICROELECTRONICS RELIABILITY
- An improved autoregressive model by particle swarm optimization for prognostics of lithium-ion batteries
- (2013) Bing Long et al. MICROELECTRONICS RELIABILITY
- Comparative study of a structured neural network and an extended Kalman filter for state of health determination of lithium-ion batteries in hybrid electricvehicles
- (2012) D. Andre et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Fatigue crack growth estimation by relevance vector machine
- (2012) Enrico Zio et al. EXPERT SYSTEMS WITH APPLICATIONS
- Condition Monitoring of Lithium Polymer Batteries Based on a Sigma-Point Kalman Filter
- (2012) Bo-Hwan Seo et al. Journal of Power Electronics
- Health diagnosis and remaining useful life prognostics of lithium-ion batteries using data-driven methods
- (2012) Adnan Nuhic et al. JOURNAL OF POWER SOURCES
- Combining Relevance Vector Machines and exponential regression for bearing residual life estimation
- (2012) Francesco Di Maio et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Remaining useful life prediction of lithium-ion battery with unscented particle filter technique
- (2012) Qiang Miao et al. MICROELECTRONICS RELIABILITY
- Prognostics of lithium-ion batteries based on Dempster–Shafer theory and the Bayesian Monte Carlo method
- (2011) Wei He et al. JOURNAL OF POWER SOURCES
- Lithium-ion battery life prognostic health management system using particle filtering framework
- (2011) M Dalal et al. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability
- Support vector data description for fusion of multiple health indicators for enhancing gearbox fault diagnosis and prognosis
- (2010) Dong Wang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Building Sparse Multiple-Kernel SVM Classifiers
- (2009) Mingqing Hu et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- A Technique for Estimating the State of Health of Lithium Batteries Through a Dual-Sliding-Mode Observer
- (2009) IL-Song Kim IEEE TRANSACTIONS ON POWER ELECTRONICS
- Prognostics in Battery Health Management
- (2008) Kai Goebel et al. IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE
- Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework
- (2008) B. Saha et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
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