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 …

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 …

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 …

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

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 …

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 …

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 …

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 …

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 …

基于高斯过程回归的工业用户需求响应潜力评估方法.

吴迪, 王韵楚, 郁春雷, 刘晟源… - Electric Power …, 2022 - search.ebscohost.com
精确的用户需求响应潜力评估有助于电力公司或者负荷聚合商合理调用需求侧资源,
提高需求响应的实施成效, 以及降低电力系统的负荷峰谷差. 在此背景下, 针对用电容量大且负荷 …

Detection of DC series arc in more electric aircraft power system based on optical spectrometry

J Jiang, M Zhao, Z Wen, C Zhang, R Albarracín - High Voltage, 2020 - Wiley Online Library
Series arcing faults have been recognised as a hazardous phenomenon in the power
system of more electric aircraft (MEA), especially with the increasing voltage level and power …