When your predictive maintenance solution alerts you of a vibration anomaly, how do you know if it’s imbalance, misalignment, looseness, resonance, or something else entirely? Traditional analysis tells you something’s wrong. Phase analysis tells you exactly what, where, and what to do next.
Join us for a live demonstration of Phase Analysis, Augury’s new advanced diagnostic capability. Rob Alexander (Vibration Analysis Lead) and moderator Nicole Price (Senior Manager, Product Marketing) will show you how it compares phase relationships between multiple vibration signals to reveal the true source of machine faults.
Built directly into Augury’s Machine Health solution, Phase Analysis bridges the gap between automated detection and expert validation– transforming ambiguous alerts to ironclad evidence.
Join us and see:
Real examples of phase relationships, how it pinpoints true fault origin and type, eliminating guesswork and preventing costly wrong fixes
How Phase Analysis integrates seamlessly into existing workflows, enabling you to cross-check AI alerts and validate root cause without switching tools or platforms
How to strengthen trust in your predictive maintenance program and your team’s work, using signal-level proof that helps you justify critical maintenance decisions
Prevent machine failures and reduce maintenance costs with AI powered by reliability experts.
