Skip to Main Content

Transform Maintenance with Digital Twins: Digital Engineering for Heavy Machinery 

This webinar will cover how simulation and data-driven modeling enhance issue detection, optimize service schedules, and improve design and operational decisions, reducing lifecycle costs.

Venue:
Virtual

Watch Presentation

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Overview

Heavy machinery operators face increasing pressure to minimize unplanned downtime, reduce maintenance costs, and extend the life of their equipment. Digital engineering is transforming how we maintain and sustain industrial assets by enabling predictive maintenance strategies through physics-based digital twins. In this webinar, learn how simulation and data-driven modeling can help you detect issues earlier, optimize service schedules, and make better design and operational decisions, ultimately improving performance and reducing lifecycle costs.

What Attendees Will Learn

  • How digital twins support predictive maintenance for heavy machinery
  • The role of simulation and reduced-order models in real-time monitoring
  • How to integrate sensor data with physics models for early fault detection
  • Real-world examples of how digital engineering is improving uptime and reliability

Who Should Attend

System Engineers & MBSE Experts, Maintenance & Reliability Engineers, Operations & Asset Managers, R&D and Innovation Leaders, Product Managers for Industrial Equipment, IT/OT Architects and Data Engineers, CTOs / VPs of Engineering (OEMs)

Speakers

  • Bhaskar Banerjee
  • Edward Carman
Digital Engineering for heavy machinery

Secure your spot!