balance
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
Striking the Balance: Automated vs. Manual Diagnosis
Vibration data is, at its heart, complex. Analysts require many years of experience in both reviewing data and a high level of understanding of the machinery...
- David Procter
- Sensoteq
Case Studies and Stories
Reducing Costs with ESA and MCA™ Technology
More than 300 million electric motors are used in infrastructure, large buildings, and industry globally. These motors account for about 2/3rds of the industrial power consumption. Electricity is required in almost all areas of the plant to provide the driving force that either operates the equipment that produces the products or provides the services that the plant’s equipment was built to perform..
- Mark Koch
- ALL-TEST Pro, LLC
White Papers
Making It In A High Frequency World Striving for High-Frequency Industrial Accelerometers
As predictive maintenance teams in industrial facilities strive for a more complete picture of their equipment’s health, high frequency vibration measurements have become a crucial addition to identify faults such as motor and pump bearing defects and gear tooth inconsistencies in high-speed gearboxes. As a result, there is an upsurge in demand for vibration sensors with a high frequency response.
- Bob Martin
- IMI Sensors
Webinars
Understanding Vibration Analysis of Fluid Drives Systems
This webinar will be unveiling the benefits of fluid drive basics, internal configuration and the basic vibration analysis expertise required for detecting some common faults associated with the components. Live scenarios vibration data and case studies will be utilized in demonstrating the requisite knowledge required for diagnosing fluid coupling failures..
- Michael Osagada
- LafargHolcim
White Papers
Torsional Issues: Stop Guessing and Measure the Problems Directly
Failure mechanisms such as misalignment, balance, or lubrication issues can cause machinery failure. Many of these problems can be identified using standard non-destructive testing (NDT) methods including vibration analysis, infrared thermography, and tribology....
- Trent Martz
- IVC Technologies
White Papers
10 Steps for Implementing IoT in Your Industrial Space
Organizations may be tempted to throw IIoT-enhanced devices and software at the wall to see what sticks. This may be an option, but it’s not conducive to a successful maintenance program rollout...
- Frederic Baudart
- Fluke
Case Studies and Stories
Duke Energy Takes Advantage of IIoT for Predictive Maintenance Applications
This case study investigates Duke Energy’s quest to replace its monthly, manual data collection practices with daily, remote data collection and monitoring.
- Alex West
- IHS Markit
Articles
Large Electric Motor Reliability: What Did the Studies Really Say?
One of the most frequently quoted studies related to electric motor reliability is a 1983 Electric Power Research Institute (EPRI) project performed by General Electric...
- Howard Penrose
- MotorDoc LLC
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
