Towards Designing an Innovative Industrial Fan: Developing Regression and Neural Models Based on Remote Mass Measurements

Towards Designing an Innovative Industrial Fan: Developing Regression and Neural Models Based on Remote Mass Measurements

This article presents the process of the construction and testing a remote, fully autonomous system for measuring the operational parameters of fans. The measurement results obtained made it possible to create and verify mathematical models using linear regression and neural networks. The process wa...

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Bibliographic Details
Main Authors: Jacek Czyżewicz, Piotr Jaskólski, Paweł Ziemiański, Marian Piwowarski, Mateusz Bortkiewicz, Krzysztof Laszuk, Ireneusz Galara, Marta Pawłowska, Karol Cybulski
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
fans
measurements
remote measurement and diagnostic systems
fan characteristics
linear regression
neural networks
Online Access:https://www.mdpi.com/1996-1073/15/7/2425

Internet

https://www.mdpi.com/1996-1073/15/7/2425

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