基于监督自组织映射模型的固体氧化物燃料电池故障诊断

Xiao Juan Wu, Hongtan Liu
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引用次数: 13

摘要

在固体氧化物燃料电池(SOFC)电力系统中,过高的堆温和不足的反应物气体流量会导致严重的、不可逆的损坏。因此,故障监测与诊断技术是提高SOFC系统可靠性不可或缺的技术。提出了一种用于SOFC系统故障诊断的监督自组织映射(SOM)模型。利用有监督SOM模型,将SOFC的多维测试数据映射成二维图,并将出图中的不同区域表示为一种故障模式。利用SOFC数学模型的数据对该方法进行了评价,结果表明,监督SOM分析是SOFC系统故障诊断的有效方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Diagnosis of Solid Oxide Fuel Cell Based on a Supervised Self-Organization Map Model
Too high stack temperature and insufficient reactant gas flow may lead to severe and irreversible damages in a real solid oxide fuel cell (SOFC) power system. Thus, fault monitoring and diagnosis technology is indispensable to improve the SOFC system reliability. A supervised self-organization map (SOM) model is proposed to diagnose the faults of the SOFC system in this paper. Using the supervised SOM model, the multidimensional testing data of the SOFC is mapped into a two-dimensional map, and the different region in the out map is represented for one fault mode. The method is evaluated using the data obtained from an SOFC mathematical model, and the results show that the supervised SOM analysis contributes on a very efficient way to the faults diagnosis of the SOFC system.
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来源期刊
自引率
0.00%
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审稿时长
6-12 weeks
期刊介绍: The Journal of Fuel Cell Science and Technology publishes peer-reviewed archival scholarly articles, Research Papers, Technical Briefs, and feature articles on all aspects of the science, engineering, and manufacturing of fuel cells of all types. Specific areas of importance include, but are not limited to: development of constituent materials, joining, bonding, connecting, interface/interphase regions, and seals, cell design, processing and manufacturing, multi-scale modeling, combined and coupled behavior, aging, durability and damage tolerance, reliability, availability, stack design, processing and manufacturing, system design and manufacturing, power electronics, optimization and control, fuel cell applications, and fuels and infrastructure.
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