Power plant induced-draft fan fault prediction using machine learning stacking ensemble
Tlamelo Emmanuel, Dimane Mpoeleng, Thabiso Maupong
Botswana Accountancy College Botswana International University of Science and Technology
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摘要与影响
The data used our analysis is from an ID fan which is part of a coal powered plant that produces a target output of 117W. The fan is placed at the outlet of the boiler. The fan runs at an air flow rate of 5365 Am3/min , with a density of 0.85 kg/m3, diameter of 2440 mm , with a total pressure of 505 mmAq and a speed of 989 rpm. The fan impeller is driven by a 650 kW electric induction motor (6600 V 50 Hz 3 Phase) with a speed of 1000 rpm.
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工程Fault Detection and Control Systems
Machine Fault Diagnosis Techniques · Reliability and Maintenance Optimization
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