Maintenance Data Integration with Kevin Clark

Abstract

Kevin Clark and Fred discussing a new set of devices and services to provide real-time vibration and temperature data for your factory’s assets.

Key Points

Join Kevin and Fred as they discuss the ability to attach a small portable device to an industrial motor, for example, that wirelessly provide real-time, on-going vibration and temperature data. The ability to view and record data enables maintenance personnel and reliability engineers to conduct monitoring and predictive maintenance thus reducing unscheduled downtime.

Topics include:

The benefits of gathering real-time data over extended periods of time
The integration of vibration and temperature data in the maintenance program and CMMS
The flexibility of a device that is not handheld or fixed, but portable and able to monitor a wide range of assets.

Today’s Guest

Kevin Clark, CMRP, VP, Accelix, Fluke Corporation, has more than 25 years of experience in operations leadership focusing on engineering, asset management, IT, supply, manufacturing automation and safety systems. He served as Sr. Practice Director for Perficient, where his role drove growth and success in areas of manufacturing, enterprise asset management, internet of things (IoT), process standardization, and project delivery. He was also a Manufacturing Engineer at Caterpillar and held positions at Johnson & Johnson, including operations/maintenance management and Manufacturing Equipment Excellence (ME2) global leadership. He is also a long-standing member of the Society of Maintenance & Reliability Professionals (SMRP) and has held various positions at state and national levels and has been a Certified Maintenance & Reliability Professional (CMRP) since 2004. Kevin received a Bachelor of Science in Computer-Integration in Manufacturing from Purdue University and an MBA from Colorado State University.

Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques, to field data analysis approaches.