This webinar will introduce you to Azima DLI’s proprietary diagnostic technique, Impact Demod. This powerful tool allows analyst to get deeper insights into the vibration data for rotating assets, providing improved visibility to the source of vibration, extending the application of vibration analysis to slower speed assets, and finding early bearing faults to properly plan for…
Preventing downtime of industrial rotating equipment using Industry 4.0 (IIOT) vibration analysis and traditional route-based portable hand-held spectral analyzers in Pulp & Paper, Food and Beverage, Automotive, Gas & Oil, and Mining Industries. Speaker:Derek Lammel – Reliability Engineer, Certified ARP-E, Cat 3 Vibration, Level 1 Thermographer, Motion Amplification Level 1 Analyst Download the presentation deck…
Ever asked yourself why you keep replacing the same bearings and seals? Often teams get stuck causing the symptom and fail to stop and find the root cause of the problem. 50% of rotating machine damage is directly related to imbalance, most teams just replace bearings and seals because alignment/balance takes too much time. It’s important…
Introduction to Automated Vibration Diagnostics Offered by Azima DLI, a Fluke Reliability Company. Azima DLI Product Management will introduce you to Watchman™, a highly efficient, highly accurate automated diagnostic solution that has a 5x utilization improvement over traditional vibration analysis. Speaker:Michael DeMaria, Product Manager for Azima DLI, a Fluke Reliability Company Michael is the Product…
In this webinar, we will be discussing the “traditional role” of the Vibration Analyst and how it is changing to keep pace with advances in Condition Monitoring technologies. The purpose of this topic is to examine how a tiered approach to Condition Monitoring partnered with Precision Maintenance techniques can improve Plant Reliability. Topics include: Speaker:Taylor…
Connected Reliability is a framework that combines hardware and software systems from across the enterprise into one cloud-based maintenance ecosystem. Maintenance management is automatically integrated with data acquisition and analysis, giving industrial leaders unprecedented real-time visibility and empowering maintenance managers to make data-driven decisions that avoid downtime. The 5 Pillars of CR represent the Core…
The use of Industrial Internet of Things technologies has the potential to radically transform the way organizations approach condition monitoring. There are many new entrants to the market touting their usage of low cost and low power sensing technologies coupled with Machine Learning and Artificial Intelligence techniques to provide scalable, cost-effective balance of plant condition…
Vibration monitoring alerts teams to changes in machine condition before the situation degrades enough to cause harm. With a solid mix of monitoring and in-person evaluation, maintenance teams can move closer to condition-based-maintenance, where they make decisions and schedule work based on what their assets are saying, not just on the maintenance intervals. Join this…
What will 2020 bring in terms of automation, AI, machine learning, and Industry 4.0? What takeaways do we have from 2019? What new could happen that we don’t know about? Oliver Sturrock, Chief Technology Officer for Fluke Reliability Solutions, takes a look at the trends driving change in our industrial world. Oliver Sturrock, CTO,…
Soft foot is a common problem that affects rotating machinery and can result in a range of mechanical and quality problems. Think of it as a chair with one leg shorter than the other three. Soft foot is frequently overlooked but the consequences of ignoring its symptoms can be serious and expensive. In this…