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 …

A comprehensive review on unitized regenerative fuel cells: Crucial challenges and developments

T Sadhasivam, K Dhanabalan, SH Roh, TH Kim… - International Journal of …, 2017 - Elsevier
From extensive reported analyses, we reviewed the limitations, challenges, and advanced
developments of the materials and components mainly used in the unitized regenerative fuel …

Voltage fault diagnosis and prognosis of battery systems based on entropy and Z-score for electric vehicles

Z Wang, J Hong, P Liu, L Zhang - Applied energy, 2017 - Elsevier
Monitoring of battery systems is of critical importance for guaranteeing safe and reliable
operation of electric vehicles (EVs). Fault diagnosis is responsible for discovering …

A review of accelerated stress tests dedicated to proton exchange membrane fuel cells–Part I: Fuel cell component level

E Pahon, D Hissel, N Yousfi-Steiner - Journal of Power Sources, 2022 - Elsevier
Various research are currently done about fuel cells. They can concern the application
context, the fuel cell technology by itself or the socio-economic bolts. This paper deals with …

[HTML][HTML] Progress and challenges in multi-stack fuel cell system for high power applications: architecture and energy management

Y Qiu, T Zeng, C Zhang, G Wang, Y Wang, Z Hu… - Green Energy and …, 2023 - Elsevier
With the development of fuel cells, multi-stack fuel cell system (MFCS) for high power
application has shown tremendous development potential owing to their obvious …

A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids

N Sapountzoglou, J Lago, B De Schutter, B Raison - Applied Energy, 2020 - Elsevier
Power outages in electrical grids can have very negative economic and societal impacts
rendering fault diagnosis paramount to their secure and reliable operation. In this paper …

A fast fault diagnosis method of the PEMFC system based on extreme learning machine and Dempster–Shafer evidence theory

J Liu, Q Li, W Chen, Y Yan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
For purpose of solving the data-driven failure diagnosis problems of the proton exchange
membrane fuel cell (PEMFC) system, improve the test accuracy and shorten the training …

A discrete hidden Markov model fault diagnosis strategy based on K-means clustering dedicated to PEM fuel cell systems of tramways

J Liu, Q Li, W Chen, T Cao - International Journal of Hydrogen Energy, 2018 - Elsevier
To solve the fault classification problems of fuel cell (FC) various health states for tramways,
a discrete hidden Markov model (DHMM) fault diagnosis strategy based on K-means …

Severity-based fault diagnostic method for polymer electrolyte membrane fuel cell systems

JY Park, IS Lim, YH Lee, WY Lee, H Oh, MS Kim - Applied Energy, 2023 - Elsevier
This research suggests a severity-based multi-stage fault diagnostic method for polymer
electrolyte membrane fuel cell systems. By separating the diagnostic stage depending on …

Fuel cell diagnosis methods for embedded automotive applications

J Aubry, NY Steiner, S Morando, N Zerhouni, D Hissel - Energy Reports, 2022 - Elsevier
Fuel cell durability being one of the technical bolts regarding the technology industrialization
in the automotive sector, durability improvement methods are particularly relevant. Fault …