Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning

This paper reports diagnostics and prognostics study of boiler in power plant using actual boiler operating data. This study aims to early detect anomalies that occur in the boiler and to predict the remaining useful life (RUL) after anomalies are detected. The proposed method utilizes machine learn...

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Bibliographic Details
Main Authors: Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha
Format: Article
Language:English
Published: The Prognostics and Health Management Society 2025-01-01
Series:International Journal of Prognostics and Health Management
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Online Access:https://papers.phmsociety.org/index.php/ijphm/article/view/4222
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