A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring

W Ming, P Sun, Z Zhang, W Qiu, J Du, X Li… - International Journal of …, 2023 - Elsevier
A fuel cell is a power generation device that directly converts chemical energy into electrical
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …

A health management review of proton exchange membrane fuel cell for electric vehicles: Failure mechanisms, diagnosis techniques and mitigation measures

C Zhang, Y Zhang, L Wang, X Deng, Y Liu… - … and Sustainable Energy …, 2023 - Elsevier
Hydrogen-fed proton exchange membrane fuel cell (PEMFC) have been widely explored
and applied as the power units in the electric vehicles. However, their life-span under the …

Fault diagnosis of an autonomous vehicle with an improved SVM algorithm subject to unbalanced datasets

Q Shi, H Zhang - IEEE Transactions on Industrial Electronics, 2020 - ieeexplore.ieee.org
Safety is one of the key requirements for automated vehicles and fault diagnosis is an
effective technique to enhance the vehicle safety. The model-based fault diagnosis method …

[HTML][HTML] Data-based flooding fault diagnosis of proton exchange membrane fuel cell systems using LSTM networks

X Gu, Z Hou, J Cai - Energy and AI, 2021 - Elsevier
Flooding fault diagnosis is critical to the stable and efficient operation of fuel cells, while the
on-board embedded controller has limited computing power and sensors, making it difficult …

Review on hydrogen fuel cell condition monitoring and prediction methods

RH Lin, XN Xi, PN Wang, BD Wu, SM Tian - International Journal of …, 2019 - Elsevier
A hydrogen fuel cell combines oxygen and hydrogen to generate electricity, which becomes
a promising power source. The conditions of the fuel cell, such as health status, and faults …

Recent advances and summarization of fault diagnosis techniques for proton exchange membrane fuel cell systems: A critical overview

J Wang, B Yang, C Zeng, Y Chen, Z Guo, D Li… - Journal of Power …, 2021 - Elsevier
With soaring growth in the utilization of proton exchange membrane fuel cell (PEMFC)
systems on various applications, researches on fault diagnosis techniques of PEMFC …

An enhanced fault diagnosis method for fuel cell system using a kernel extreme learning machine optimized with improved sparrow search algorithm

R Quan, W Liang, J Wang, X Li, Y Chang - International Journal of …, 2024 - Elsevier
Proton exchange membrane fuel cells (PEMFC) have a broad development prospect in the
fields of vehicles, drones and ships due to their high efficiency and cleanliness. However …

Remaining useful life prediction and uncertainty quantification of proton exchange membrane fuel cell under variable load

M Bressel, M Hilairet, D Hissel… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Although, the proton exchange membrane fuel cell is a promising clean and efficient energy
converter that can be used to power an entire building in electricity and heat in a combined …

Intelligent simultaneous fault diagnosis for solid oxide fuel cell system based on deep learning

Z Zhang, S Li, Y Xiao, Y Yang - Applied Energy, 2019 - Elsevier
Fault diagnosis technology is a vital tool for ensuring the stability and durability of solid oxide
fuel cell systems. Simultaneous faults are common problems in modern industrial systems …

A SVM framework for fault detection of the braking system in a high speed train

J Liu, YF Li, E Zio - Mechanical Systems and Signal Processing, 2017 - Elsevier
In April 2015, the number of operating High Speed Trains (HSTs) in the world has reached
3603. An efficient, effective and very reliable braking system is evidently very critical for …