Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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 …
energy through chemical reactions; fuel cells are widely used in aerospace, electric vehicle …
A review on lifetime prediction of proton exchange membrane fuel cells system
The proton exchange membrane fuel cells (PEMFC) system is a promising eco-friendly
power converter device in a wide range of applications, especially in the transportation area …
power converter device in a wide range of applications, especially in the transportation area …
[HTML][HTML] Fundamentals, materials, and machine learning of polymer electrolyte membrane fuel cell technology
Polymer electrolyte membrane (PEM) fuel cells are electrochemical devices that directly
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
convert the chemical energy stored in fuel into electrical energy with a practical conversion …
Well production forecasting based on ARIMA-LSTM model considering manual operations
Accurate and efficient prediction of well production is essential for extending a well's life
cycle and improving reservoir recovery. Traditional models require expensive computational …
cycle and improving reservoir recovery. Traditional models require expensive computational …
Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train
To apply the actual fuel cell hybrid system, improve the efficiency of fuel cells, and reduce
the operating cost, the model predictive control (MPC)-based energy management strategy …
the operating cost, the model predictive control (MPC)-based energy management strategy …
A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell
Fuel cell technology has been rapidly developed in the last decade owing to its clean
characteristic and high efficiency. Proton exchange membrane fuel cells (PEMFCs) are …
characteristic and high efficiency. Proton exchange membrane fuel cells (PEMFCs) are …
Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review
Prognostics is a promising solution to the short lifetime and high-cost bottlenecks of proton
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …
exchange membrane fuel cells (PEMFCs). The advances of PEMFCs prognostics research …
Approximate cost-optimal energy management of hydrogen electric multiple unit trains using double Q-learning algorithm
Energy management strategy (EMS) is the key to the performance of fuel cell/battery hybrid
system. At present, reinforcement learning (RL) has been introduced into this field and has …
system. At present, reinforcement learning (RL) has been introduced into this field and has …
Remaining useful life prediction of PEMFC systems under dynamic operating conditions
Abstract The Prognostic and Health Management (PHM) has been developed for more than
two decades. It is capable to anticipate the impending failures and make decisions in …
two decades. It is capable to anticipate the impending failures and make decisions in …
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …
membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load …