Hybrid Model Development for HVAC System in Transportation
نویسندگان
چکیده
Hybrid models combine physics-based and data-driven models. This combination is a useful technique to detect fault predict the current degradation of equipment. paper proposes model, which will be part hybrid for heating, ventilation, air conditioning system installed in passenger vehicle train. The model divided into four main parts: heating subsystems, cooling ventilation cabin thermal networking subsystems. These subsystems are developed when considering sensors that located real system, so can linked via acquired sensor data virtual improve detectability failure modes. Thus, synchronized with provide better simulation results. also considers diagnostics prognostics performance. First, it looks at situation maintenance strategy number modes team detect. Second, determines expected improvement using modelling maintain system. based on capabilities detecting new concludes by suggesting future
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ژورنال
عنوان ژورنال: Technologies (Basel)
سال: 2021
ISSN: ['2227-7080']
DOI: https://doi.org/10.3390/technologies9010018