Development of Transformer-based Model for Prediction of PEMFC Remaining Useful Life

A Transformer model to predict the remaining useful life of a fuel cell, which has demonstrated superior performance in analyzing time series data. The dataset was created from long-term performance evaluation experiments conducted in rated power mode, with measurements taken every 10 hours. We prep...

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書誌詳細

主要な著者:	Da Hye Geum, Hyeon Do Han, Hyunjun Yang, Heejun Shin, Suk Won Cha, Gu Young Cho
フォーマット:	Artigo
言語:	Inglês
出版事項:	Korean Society for Precision Engineering 2025-12-01
シリーズ:	한국정밀공학회지
主題:	polymer electrolyte membrane fuel cell remaining useful lifetime prediction transformer model self-attention
オンライン･アクセス:	http://www.jkspe.or.kr/upload/pdf/JKSPE-025-00015.pdf
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