Predictive maintenance using machine learning is an advanced approach that enables industries to foresee equipment failures before they occur, moving beyond traditional reactive and preventive maintenance methods
Digital Twin Technology for Mechanical Systems involves creating a real-time virtual replica of physical machines to monitor performance, predict failures, and optimise design and operation using data-driven analysis.
Mechanical Engineering Seminar Topics
This article explores Industry 4.0, detailing its core technologies, real-world applications, benefits, and challenges in transforming modern industrial practices.