Diagnostics
Webinars
Hybrid-AI Predictive Maintenance for Industrial Equipment
Explore how Hybrid-AI is advancing predictive maintenance for industrial equipment in this upcoming webinar, where we’ll examine how physics-based failure-mode models and data-driven AI can be combined into an explainable hybrid approach, helping your team detect more failure modes earlier, prioritize evidence-backed diagnoses, and move from alerts to confident, prescriptive action.
- Preston Johnson
- Cutsforth
Webinars
Understanding Vibration Signals in a Process World
Join Peter Eitnier from Wilcoxon Sensing Technologies as they discuss cost-effective ways to improve processes and reduce downtime. The best part? You don't have to be a vibration expert to do it...
- Peter Eitnier
- Wilcoxon Sensing Technologies
10 Minute Talk
Humans vs. AI: Vibration Diagnostics
Matthew Moore and Dr. David Siegel discuss how humans and AI measure up in the area of vibration diagnostics. Who will win?…
- Matthew Moore
- Moore Reliability Limited
Webinars
Approaching Machines That Are New to You for Condition Based Maintenance
Whether you are an experienced vibration analyst or a novice, approaching machines that are new to you can present challenges. This presentation describes a sequential method that may be helpful in getting started in this process. Sometimes it’s nice to have defined steps to follow in order to get the data you need about the machine and it’s operation. By doing so, you will have a better chance of getting useful data that can lead to quicker and more refined diagnostics in the future.
- Bob Martin
- IMI Sensors
Two Minute Tips
What’s for Dinner? A Peek into Process Diagnostics
If you’re a technician and it’s your job to take these readings with a hand-held data collector, this trend can be described with one word - boring. While there is always value in taking a reading on a rotating asset and using your 5 senses to look for issues that might not be picked up with vibration, this only extends so far for machines that rarely have issues..
- Sensoteq
- Sensoteq
Case Studies and Stories
How to Analyse a Bearing Condition
This case study is done in association with a global rail company where VibCloud is utilised for ongoing locomotive monitoring for many years now. Case study demonstrates how to analyse vibration in order to determine bearing condition.
- Petar Spaseski
- iTnnovate
White Papers
Why MEMS Accelerometers Are Becoming the Designer’s Best Choice for CbM Applications
A small number of semiconductor manufacturers have overcome the noise, bandwidth and g-Range shortcomings commonly associated with MEMS sensors used in Condition-based Monitoring (CbM) by producing several medium and high-performance MEMS vibration sensors with the latter being comparable to piezo accelerometers.
- Chris Murphy
- Analog Devices, Inc
White Papers
New Single-Pair Ethernet: High-Quality Asset Health Insights and Power on Two Wires for Condition Monitoring Applications
Condition monitoring applications continue to grow in importance, as equipment manufacturers look to increase asset utilization with real-time monitoring of equipment, extend equipment lifespans, and increase throughput by utilizing predictive maintenance techniques to reduce maintenance costs and asset downtime..
- Maurice O'Brien
- Analog Devices, Inc
White Papers
Embedded Sensor Platform with AI Algorithms—Locally from Big Data to Smart Data
Industry 4.0 applications generate a huge volume of complex data—big data. This naturally increases the potential for generating added value along the entire value chain. Only with relevant, high quality, and useful data—smart data—can the associated economic potential be unfolded...
- Dzianis Lukashevich
- ADI
Join Terry Southall for a webinar focused on determining when alignment is the right corrective action, where he will explore behavioral indicators, operational clues, and reliability patterns that help distinguish misalignment from overlapping vibration conditions, giving your team the confidence to recommend alignment and understand how laser alignment provides the precision needed to solve the underlying problem.
Thursday, November 5, 2026 | 11:00am-12:00pm ET
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
