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 …
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 …
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
Monitoring of battery systems is of critical importance for guaranteeing safe and reliable
operation of electric vehicles (EVs). Fault diagnosis is responsible for discovering …
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
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
electrolyte membrane fuel cell systems. By separating the diagnostic stage depending on …
Fuel cell diagnosis methods for embedded automotive applications
Fuel cell durability being one of the technical bolts regarding the technology industrialization
in the automotive sector, durability improvement methods are particularly relevant. Fault …
in the automotive sector, durability improvement methods are particularly relevant. Fault …