Our experts leveraged data from the production line’s existing sensor network, analyzing real-time information with AI to predict equipment health and possible maintenance:

Sep 14, 2022 · This study is one of the most comprehensive studies in the literature related to automotive production; therefore, it puts forth the power of using digital twin technology in that …

Jun 10, 2025 · In this blog, we will explore how digital twins are transforming predictive maintenance, preventing disruptions before they start, and redefining what operational …

Jul 7, 2025 · Data acquisition: Sensors collect data on temperature, vibration, pressure, and structural loads. Modeling and simulation: Using FEM and CAD/CAM models, virtual replicas …

ntime, inefficient asset utilization, and high maintenance costs, all of which can severely affect production efficiency. However, recent advancements in digital technologies, sp cifically digital …

This paper examines the interplay between Digital Twins and IoT, exploring how they jointly advance predictive maintenance in manufacturing. It reviews relevant studies and industry …

This study presents a standards-aligned framework for DT-driven predictive maintenance enhanced by artificial intelligence (AI). Multiple models—including Random Forest, Gradient …

This study has looked at the main intersection of Lean Manufacturing and Predictive Maintenance to ascertain the creative potential of using Digital Twin technology to overcome typical …

Jun 22, 2025 · Among these innovations, digital twins have emerged as a game-changer, offering a virtual replica of physical assets and processes. This article delves into the world of digital …

Jun 5, 2025 · Learn how digital twins contribute to predictive maintenance in manufacturing, enhancing asset reliability and streamlining maintenance processes.