Prediction of Industrial Process Parameters using Artificial Intelligence Algorithms

by   Abdelmoula Khdoudi, et al.

In the present paper, a method of defining the industrial process parameters for a new product using machine learning algorithms will be presented. The study will describe how to go from the product characteristics till the prediction of the suitable machine parameters to produce a good quality of this product, and this is based on an historical training dataset of similar products with their respective process parameters. In the first part of our study, we will focus on the ultrasonic welding process definition, welding parameters and on how it operate. While in second part, we present the design and implementation of the prediction models such multiple linear regression, support vector regression, and we compare them to an artificial neural networks algorithm. In the following part, we present a new application of Convolutional Neural Networks (CNN) to the industrial process parameters prediction. In addition, we will propose the generalization approach of our CNN to any prediction problem of industrial process parameters. Finally the results of the four methods will be interpreted and discussed.



There are no comments yet.


page 1

page 2

page 3

page 4


Flood Prediction and Analysis on the Relevance of Features using Explainable Artificial Intelligence

This paper presents flood prediction models for the state of Kerala in I...

Retrieval of Case 2 Water Quality Parameters with Machine Learning

Water quality parameters are derived applying several machine learning r...

Towards a more efficient use of process and product traceability data for continuous improvement of industrial performances

Nowadays all industrial sectors are increasingly faced with the explosio...

A Comparison of Machine Learning Algorithms Applied to American Legislature Polarization

We present a novel approach to the measurement of American state legisla...

Synthetic Dataset Generation of Driver Telematics

This article describes techniques employed in the production of a synthe...

IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT

At present, SOILD-STATE Fermentation (SSF) is mainly controlled by artif...

Forecasting Industrial Aging Processes with Machine Learning Methods

By accurately predicting industrial aging processes (IAPs), it is possib...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.