IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Electronic Digital Twin in Industry 5.0: AI-based electronic Industry 5.0 models

Electronic Digital Twin in Industry 5.0: AI-based electronic Industry 5.0 models
View Sample PDF
Author(s): Alessandro Massaro (Department of Engineering, LUM University, Bari, Italy)
Copyright: 2026
Pages: 40
Source title: AI-Driven Smart Industrial Technologies
Source Author(s)/Editor(s): Maki K. Habib (The American University in Cairo, Egypt)
DOI: 10.4018/979-8-3693-7994-3.ch005

Purchase

View Electronic Digital Twin in Industry 5.0: AI-based electronic Industry 5.0 models on the publisher's website for pricing and purchasing information.

Abstract

The proposed chapter provides a methodology to design electronic circuits and Digital Twin (DT) models in Industry 5.0 environments. Different examples are discussed, by combining the electrical and the electronic behavior with the Artificial Intelligence (AI) algorithms upgrading the DT model about the signal prediction. The analyzed DT models are related to important elements of industrial machines such as filters, amplifiers, sensors, switching and control systems. The goal is to illustrate the setting of open source tools able to implement AI-DT complex models simulating real environment industrial conditions including the disturb effects, noises and interferences of the electronic components.

Related Content

Mohammed Adi Al Battashi, Mohamad A. M. Adnan, Asyraf Isyraqi Bin Jamil, Majid Adi Al-Battashi. © 2026. 30 pages.
Potchong M. Jackaria, Al-adzran G. Sali, Hana An L. Alvarado, Rashidin H. Moh. Jiripa, Al-sabrie Y. Sahijuan. © 2026. 26 pages.
Elizabeth Gross. © 2026. 30 pages.
Siti Nazleen Abdul Rabu, Xie Fengli, Ng Man Yi. © 2026. 44 pages.
Mohammed Abdul Wajeed. © 2026. 30 pages.
Aldammien A. Sukarno, Al-adzkhan N. Abdulbarie, Wati Sheena M. Bulkia, Potchong M. Jackaria. © 2026. 24 pages.
Abdulla Sultan Binhareb Almheiri, Humaid Albastaki, Hanadi Alrashdan. © 2026. 26 pages.
Body Bottom