Advanced Analytics For Machinery Monitoring
Modern machinery monitoring solutions employing advanced AI and ML are widely available; however, many users struggle to realize the full potential of these technologies. This practical application guide will delve into how to effectively merge physics-based algorithms with machine learning to provide robust, automated monitoring.
Check out this tutorial presented at TPS 2025 by Mechademy experts Ruzbeh Homji, CEO, and Mark Weatherwax, CPO, to:
Learn how multiple analysis methods can be leveraged without adding the burden of constant data labeling or trend monitoring for operators
Explore real-world case studies that demonstrate how combining physics-based insights with AI-driven analytics yields timely, valuable findings for machinery health
Gain best practices needed to unlock the real benefits of data analytics in turbomachinery and pumping operations
