Remaining useful life prediction for proton exchange membrane fuel cells using combined convolutional neural network and recurrent neural network

T Wilberforce, A Alaswad, A Garcia–Perez, Y Xu… - International Journal of …, 2023 - Elsevier
The search for sustainable but environmentally friendly medium of harnessing energy for the
automotive industry has led to the evolution of various energy generating and converting …

Degradation prediction model for proton exchange membrane fuel cells based on long short-term memory neural network and Savitzky-Golay filter

B Zuo, J Cheng, Z Zhang - International Journal of Hydrogen Energy, 2021 - Elsevier
Proton exchange membrane fuel cell (PEMFC) as a promising green power source, can be
applied to vehicles, ships, and buildings. However, the lifetime of the fuel cell needs to be …

Adaptive Savitzky-Golay filtering in non-Gaussian noise

A John, J Sadasivan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
A Savitzky-Golay (SG) filter, widely used in signal processing applications, is a finite-impulse-
response low-pass filter obtained by a local polynomial regression on noisy observations in …

State of health estimation of lithium-ion battery using energy accumulation-based feature extraction and improved relevance vector regression

C Qian, N He, L He, H Li, F Cheng - Journal of Energy Storage, 2023 - Elsevier
The state of health (SOH) of lithium-ion battery is an important component of intelligent
battery management system. Precise SOH estimation provides feasible and safe guidance …

A novel health indicator for online health estimation of lithium-ion batteries using partial incremental capacity and dynamic voltage war**

L Li, Y Li, W Cui, Z Chen, D Wang, B Zhou… - Journal of Power …, 2022 - Elsevier
Real-time state of health (SoH) estimation is essential to guarantee the reliability and safety
of a lithium-ion battery system. However, the incomplete charge/discharge process, which is …

Power Engineering: Advances and Challenges, Part A: Thermal, Hydro and Nuclear Power

V Badescu, GC Lazaroiu, L Barelli - 2018 - books.google.com
Faced with the climate change phenomena, humanity has had to now contend with
numerous changes, including our attitude environment protection, and also with depletion of …

[HTML][HTML] An accurate CT saturation classification using a deep learning approach based on unsupervised feature extraction and supervised fine-tuning strategy

M Ali, DH Son, SH Kang, SR Nam - Energies, 2017 - mdpi.com
Current transformer (CT) saturation is one of the significant problems for protection
engineers. If CT saturation is not tackled properly, it can cause a disastrous effect on the …

Locating partial discharges in power transformers with convolutional iterative filtering

J Wang, K Wu, A Sim, S Hwangbo - Sensors, 2023 - mdpi.com
The most common source of transformer failure is in the insulation, and the most prevalent
warning signal for insulation weakness is partial discharge (PD). Locating the positions of …

A Data-Driven Prediction Method for Proton Exchange Membrane Fuel Cell Degradation

D Wang, H Min, H Zhao, W Sun, B Zeng, Q Ma - Energies, 2024 - mdpi.com
This paper proposes a long short-term memory (LSTM) network to predict the power
degradation of proton exchange membrane fuel cells (PEMFCs), and in order to promote the …

A novel current transformer based on virtual air gap and its basic measuring characteristics

Y Wu, C Tian, Z Zhang, B Chen, S Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
If current transformer (CT) is saturated in operation, it will lead to incorrect current
measurements and may cause relay maloperation, which can greatly threaten the safety of …