Work

A conversion tool for translating Python-based machine learning models to structured text codes

Year: 2024

Type: software-paper

Abstract: We present a converter software program that automatically translates Python-based machine learning algorithms into Structured Text codes. This tool empowers engineers to efficiently generate machine learning models in a programming language widely used in industrial controllers. It supports the conversion of decision tree and multilayer perceptron models built using scikit-learn library. Moreover, the generated Structure Text code is compatible with ABB's Industrial IT 800xA DCS syntax. A practical example demonstrates the effectiveness of this converter software program and its potential to enhance the integration of machine learning models into industrial automation systems.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.102005

Authors: Yasmin Adriane de Paula Campos, Paulo Haron da Silva Pereira, Robson Aparecido Duarte, José Manuel Gonzalez Túbio Perez, Gustavo Pessin, Thomas Vargas Barsante Pinto

Institutions: Universidade Federal de Ouro Preto, Vale Technological Institute, Universidade Federal de Minas Gerais

Language: English

Topic: Industrial Automation and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $970

OpenAlex ID: W4405534518

Cites: 18

Cited by: 2

Related to: 10