ON DEMAND - This webinar explores how data-driven, predictive maintenance can reduce downtime, improve safety, and extend asset life.
Baker Hughes experts Walter Piotto and Guilherme Silva walk through the fundamentals of condition monitoring, share real-world case studies, and explore how AI and machine learning are enabling a shift from diagnostics to prescriptive insights. Whether you are managing mobile fleets or fixed assets, this session will show how to move from reactive to proactive maintenance safely and efficiently.
What you’ll learn:
- The challenge: Why traditional maintenance strategies fall short in today’s high-demand, high-risk mining environments.
- Condition monitoring solutions: Understand the core technologies, vibration analysis, oil quality monitoring, and telemetry integration, and how they apply to haul trucks, crushers, conveyors, shovels, and pumps.
- Case studies: Learn from real-world deployments, including:
- US$300 000+ in savings from early detection of a haul truck bearing failure.
- US$251 000 saved by identifying a hydraulic pump issue before it caused a full system failure.
- The future of maintenance: Discover how AI, machine learning, and state-based analytics are enabling a shift from diagnostics to prescriptive insights. Learn how combining first-principles modeling with advanced algorithms delivers faster, more accurate failure detection and actionable recommendations.
Speakers
Walter Piotto
Director of Application Engineering, Americas
Guilherme Silva
Global Strategy and Industrial Sales Director
