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دسته بندی:
مدیریت پروژه - Project Management
سال انتشار:
2020
عنوان انگلیسی مقاله:
Online adaptive water management fault diagnosis of PEMFC based on orthogonal linear discriminant analysis and relevance vector machine
ترجمه فارسی عنوان مقاله:
تشخیص خطای مدیریت آب انطباقی آنلاین PEMFC بر اساس تجزیه و تحلیل تمایز خطی متعامد و دستگاه بردار ارتباط
منبع:
Sciencedirect - Elsevier - International Journal of Hydrogen Energy, 45 (2020) 7005-7014. doi:10.1016/j.ijhydene.2019.12.193
نویسنده:
Shangwei Zhou a,*, Jaspreet Singh Dhupia b
چکیده انگلیسی:
A data-driven strategy for characterizing the water management failure in a Proton Exchange
Membrane Fuel Cell (PEMFC) is presented in this paper. To carry out the diagnosis
of water management failure, first the original single cell voltages are projected into lowerdimension
features by applying orthogonal linear discriminant analysis (OLDA). Then, a
classification methodology termed relevance vector machine (RVM) is employed to classify
the lower-dimension features into different categories that indicate the respective health
states of the system. The initially trained projecting vectors and classifiers lose their efficiency
gradually the characteristics of PEMFC system change, such as the cell voltages
decaying with time due to the normal degradation due to aging. An online adaptive diagnostic
strategy based on the posterior probability of RVM is proposed, so as to keep the
diagnostic accuracy over time. The efficiency and reliability of this online adaptive diagnostic
strategy is validated using an experimental database from a 90-cell PEMFC stack.
Keywords: Proton exchange membrane fuel cell | (PEMFC) | Orthogonal linear discriminant | analysis (OLDA) | Relevance vector machine (RVM) | Water management failure | Online adaptive diagnostics
قیمت: رایگان
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