Maintenance Strategy
Interviews
Level Up Your Condition Monitoring Strategy
Wireless condition monitoring is rapidly evolving. Hear what teams should know about integration, asset criticality, AI, and what’s next.
- Chris O'Farrell
- AssetWatch
Webinars
Deciding Between Balance, Replace, or Align
Learn when alignment is truly the right corrective action in this webinar, where we’ll break down behavioral indicators, operational clues, and reliability patterns that help separate misalignment from overlapping vibration conditions, giving your team greater confidence in recommending alignment and showing how laser alignment delivers the precision needed to address the root cause.
- Terry Southall
- Hamar Laser Instruments, Inc.
Two Minute Tips
Don’t Just Fix It – Prove It’s Fixed
When you replace a component without verifying alignment, that new part goes right back into the same stress environment that destroyed the last one. Misalignment creates continuous bending forces, and they start degrading components immediately, even before any symptom appears.
- Terry Southall
- Hamar Laser Instruments, Inc.
Two Minute Tips
Choosing the Right Maintenance Strategy
Maintenance is more than just fixing what’s broken—it's a strategic discipline that directly impacts uptime, cost efficiency, safety, and asset longevity. With increasing pressure on operational performance, selecting the right maintenance strategy for each asset is no longer optional—it’s essential.
- Shaiful Hady Mohamad
- Handy Engineering
Webinars
How to Develop the Maintenance Strategy Using the RCM/FMEA Driven Approach
Reliability Centered Maintenance is one of the tool in APM methodologies that looks into many evident and hidden failures of plant critical assets and give innovative technical solutions/PMs, which improves plant reliability and availability.
- Vinoth Kumar Subramani
- Machine Monitoring System - Center for Reliability Excellence
Join Preston Johnson for a webinar on Hybrid-AI Predictive Maintenance for Industrial Equipment, where he will explore how physics-based failure-mode models and data-driven AI can be combined into an explainable hybrid approach, giving your team the tools to detect more failure modes earlier, prioritize evidence-backed diagnoses, and move from alerts to confident, prescriptive action.
Tuesday, November 17, 2026 | 2:00pm-3:00pm ET
