Loose Belt Fault Detection and Virtual Flow Meter Development Using Identified Data-driven Energy Model for Fan Systems
نویسندگان
چکیده
An energy model that correlates fan airflow, head, speed, and system power input is essential to detect device faults optimize control strategies in systems. Since the application of variable-frequency drives (VFDs) makes motor-efficiency data published by manufacturers inapplicable for VFD–motor–fan systems, efficiency drive (belt–motor–VFD) must be identified each individual obtain accurate models. The objectives this paper are identify an existing systems using available experimental demonstrate its applications loose belt fault detection virtual airflow meter development optimal control. First, approach developed efficiency, drive-efficiency curves as well temporarily measured rate without measuring shaft power. Then, system. Finally, applied slipped develop meter. experiment results reveal can effectively accurately calculate rate.
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ژورنال
عنوان ژورنال: Sustainability
سال: 2023
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su151612113