4.7 Article

Long-Term Performance Prediction of PEMFC Based on LASSO-ESN

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。
Article Engineering, Multidisciplinary

Ensemble model for the degradation prediction of proton exchange membrane fuel cell stacks

Fu-Kwun Wang et al.

Summary: An ensemble model based on a stacked long short-term memory model shows better performance in predicting the degradation of PEMFC stacks compared to existing models, with improved accuracy and precision in estimating the remaining useful life.

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL (2021)

Article Computer Science, Artificial Intelligence

Feature Selection Using a Neural Network With Group Lasso Regularization and Controlled Redundancy

Jian Wang et al.

Summary: This study presents a neural network-based feature selection scheme that controls the level of redundancy in selected features by integrating two penalties. Experimental results demonstrate the effectiveness of the proposed scheme in redundancy control.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Feature Selection for Neural Networks Using Group Lasso Regularization

Huaqing Zhang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2020)

Article Chemistry, Physical

Degradation prediction of PEM fuel cell based on artificial intelligence

L. Vichard et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2020)

Article Chemistry, Physical

Aging prognosis model of proton exchange membrane fuel cell in different operating conditions

Kui Chen et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2020)

Article Engineering, Electrical & Electronic

Performance Prediction Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy and Extreme Learning Machine

Huimin Zhao et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Engineering, Electrical & Electronic

Research on Remaining Useful Life Prediction of Rolling Element Bearings Based on Time-Varying Kalman Filter

Lingli Cui et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Chemistry, Physical

Effectiveness of PEMFC historical state and operating mode in PEMFC prognosis

Kai He et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2020)

Article Engineering, Electrical & Electronic

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter

Ruihua Jiao et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

Article Chemistry, Physical

Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks

Jiawei Liu et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2019)

Article Computer Science, Artificial Intelligence

Model forecasting based on two-stage feature selection procedure using orthogonal greedy algorithm

He Jiang

APPLIED SOFT COMPUTING (2018)

Article Chemistry, Physical

A hybrid remaining useful life prognostic method for proton exchange membrane fuel cell

Yujie Cheng et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2018)

Article Computer Science, Artificial Intelligence

Ensemble of optimized echo state networks for remaining useful life prediction

Marco Rigamonti et al.

NEUROCOMPUTING (2018)

Article Chemistry, Physical

Proton exchange membrane fuel cell ageing forecasting algorithm based on Echo State Network

Simon Morando et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)

Article Chemistry, Physical

A novel health indicator for PEMFC state of health estimation and remaining useful life prediction

Jiayu Chen et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)

Article Chemistry, Physical

Performance prediction of PEM fuel cell with wavy serpentine flow channel by using artificial neural network

Mehmet Seyhan et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)

Article Chemistry, Physical

Data-based short-term prognostics for proton exchange membrane fuel cells

Hao Liu et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)

Article Energy & Fuels

Extended Kalman Filter for prognostic of Proton Exchange Membrane Fuel Cell

Mathieu Bressel et al.

APPLIED ENERGY (2016)

Article Computer Science, Information Systems

Modeling neural plasticity in echo state networks for classification and regression

Mohd-Hanif Yusof et al.

INFORMATION SCIENCES (2016)

Article Chemistry, Physical

Modeling of commercial proton exchange membrane fuel cell using support vector machine

Azadeh Kheirandish et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2016)

Proceedings Paper Automation & Control Systems

Some Improvements of Particle Filtering Based Prognosis for PEM Fuel Cells

D. Zhang et al.

IFAC PAPERSONLINE (2016)

Article Engineering, Electrical & Electronic

Bearing Health Monitoring Based on Hilbert-Huang Transform, Support Vector Machine, and Regression

Abdenour Soualhi et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2015)

Article Chemistry, Physical

Prognostics of PEM fuel cell in a particle filtering framework

Marine Jouin et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2014)

Article Chemistry, Physical

Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference Systems

R. E. Silva et al.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2014)

Review Chemistry, Physical

A review of PEM fuel cell durability: Degradation mechanisms and mitigation strategies

Jinfeng Wu et al.

JOURNAL OF POWER SOURCES (2008)