May 9, 2023 · The present work proposes the development of machine-learning techniques to estimate the mass flow of ore in a conveyor belt that is not ...
Jul 10, 2024 · The virtual sensors were designed using current, torque, and motor speed data from a conveyor belt and iron ore flow measurements from a belt ...
The present work proposes the development of machine-learning techniques to estimate the mass flow of ore in a conveyor belt that is not equipped with a belt ...
Duration: 0:43
Posted: Oct 29, 2024
Posted: Oct 29, 2024
This study explores the implementation of an artificial neural network (ANN) based soft sensor model in a water supply system to predict flow rates within the ...
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Which of the following sensor is used for measurement of mass flow rate?
What does a mass flow sensor measure?
Duration: 7:12
Posted: Dec 28, 2023
Posted: Dec 28, 2023
This paper evaluates mass-flow estimation capabilities of four online mass-flow sensors: Power transducer, laser profilometer, ultrasonic sensor, and strain ...
Data-driven development of a soft sensor for the flow rate monitoring ...
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Sep 2, 2022 · A soft sensor was developed to monitor tube thickness and its weight per unit length. Two alternative approaches are proposed to predict the extruder flow rate.
This study presents the development and validation of soft sensors based on a data-driven approach, which can compensate for the parameters often unavailable.
Mar 1, 2023 · This work proposes a data-driven soft sensor approach for compensating multiple missing information. The soft sensors are developed based on an ANN model.