arXiv Open Access 2025

Digital Twins in Industrial Applications: Concepts, Mathematical Modeling, and Use Cases

Ali Mohammad-Djafari
Lihat Sumber

Abstrak

Digital Twins (DTs) are virtual representations of physical systems synchronized in real time through Internet of Things (IoT) sensors and computational models. In industrial applications, DTs enable predictive maintenance, fault diagnosis, and process optimization. This paper explores the mathematical foundations of DTs, hybrid modeling techniques, including Physics Informed Neural Networks (PINNs), and their implementation in industrial scenarios. We present key applications, computational tools, and future research directions.

Topik & Kata Kunci

Penulis (1)

A

Ali Mohammad-Djafari

Format Sitasi

Mohammad-Djafari, A. (2025). Digital Twins in Industrial Applications: Concepts, Mathematical Modeling, and Use Cases. https://arxiv.org/abs/2507.12468

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓