Stack performance classification and fault diagnosis optimization of solid oxide fuel cell system based on bayesian artificial neural network and feature selection

已完结 10 由 chestnut 发布于 2025/12/15 14:54:03

DOI:10.1016/j.jpowsour.2024.235198
作者：Xiao-long Wu , Juan Mei , Yuan-wu Xu , Yongjun Cheng , Jingxuan Peng , Bo Chi , Zhuo Wang , Xi Li
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Solid oxide fuel cell (SOFC) has attracted much attention because of its high efficiency and silent power generation, and can be applied to the field of fuel cell-powered unmanned boats. How

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:NatureSlc7a7 licenses macrophage glutaminolysis for restorative functions in atherosclerosis