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The Monitoring of Factory Electrical System in Collapse Using Neural Network Prediction Method
Author(s)
Boonseng, Chongrag
Nilnimitr, Nannam
Kularbphettong, Kunyanuth
Date Issued
October 25, 2020
Type
Conference Paper
Abstract
This project presents monitoring of the feasibility of electrical systems by a prediction program created by Neuron Networks which the program can predict the result in the percentage of how strong the power is. In this paper, we will talk about the models used for analysis and the predictive results obtained from the program. When we can predict the strength percentage of the system, it will help the users maintain or prevent the strength of the electrical system lower than the users require. It also helps to reduce the impact of seams on the use of uninterruptible power systems.
Citation
Proceeding 8th International Conference on Condition Monitoring and Diagnosis Cmd 2020, 270-273, 2020