Effectively Managing Your PdM Efforts Through Adopting Best Practices and KPIs
This presentation will highlight some of the most impactful practices that can take your result to another level. The old adage, “You cannot manage what you don’t measure” applies to your PdM program, however many programs have not established meaningful metrics that are regularly measured and tracked.
- John Pucillo
- Predictive Service
IIOT driven Industry 4.0 transformation of your PdM program
Learn about the benefits of implementing IIOT based remote monitoring strategy for essential Plant Assets.
- Praveen Gupta
- Special Oilfield Services CO. L.L.C.
Driving PdM efforts from Managing Failures to Increased Reliability through Integration
PdM strategies have grown in equipment coverage and effectiveness for going on 50 years. The program’s strategy is designed to find early stage failures to proactively manage problems versus being controlled by them. Our ability to integrate PdM results with other plant systems and data has increased dramatically over the past decade. This new capability has broaden our visibility across all of our plant assets, providing an improved path towards recognizing repeating patterns, both mechanically and operationally. This webinar will detail the next generation of PdM program design, adding improved integration with plant systems.
- John Pucillo
- Predictive Service
Top 6 Things That Will Kill ROI on Your IOT PDM Implementation
Are you considering or in the midst of implementing IOT technology to take your Predictive Maintenance Program to the next level. Maybe you're unsure what the key considerations are to assure ROI and what KPI's you actually should be tracking. In this webinar we will discuss the 6 most important factors that can singlehanded kill the ROI and make or break the success of your project. A must attend for all management and technical folks trying to add value everyday by implementing new technologies.
- Dries Van Loon
Condition Monitoring Technologies – Pros and Cons of the Top Five
There are several different technologies that can be used, alone or in combination, to monitor the condition of your machinery from a predictive maintenance (PdM) perspective. The criticality of the machine affects the number of such inspection-type technologies that are applied to a given failure mode. The more critical the machine and the more critical the failure mode, the more redundancy you will want in the inspections.
- Timothy Weilbaker
- Allied Reliability, Inc.
Streamlining the PdM Process using MCA Motor Testing
Streamlining the PdM process using MCA motor testing” presents brief discussion of Predictive Maintenance and how to incorporate the various MCA technologies to identify motor faults. Identifies the types of faults each MCA identifies. Discuss TVS, “static”, “dynamic”, ground fault & phase comparison tests. Discuss which types of faults the various MCA technologies identify.
- Bill Kruger
- ALL-TEST Pro
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
Successful PdM Saves Facility Time & Money
A work order was issued by a waste water treatment plant technician requesting electrical support due to a failed ﬂoating agitator.
- Mark Koch
- ALL-TEST Pro, LLC
Artificial Intelligence vs Vibration-Based Diagnostics
What is important to know is that vibration monitoring techniques that are widely used at present generate the domain of informative features of equipment defects in a form that is extremely problematic for automatic systems. The main issue is...
- Pawel Lecinski