Facilities around the globe are experiencing a major generational shift in terms of how they operate and maintain their equipment. Increased productivity pressures and high uptime demands of equipment combined with a shortage of qualified maintenance personnel are driving facilities to rely more than ever on predictive maintenance tools (PdM). But how can you ensure confidence in your integration?
This session will explore the need for the Industrial Internet of Things (IIoT) in industrial environments and will highlight the importance of predictive maintenance (PdM) tools over preventive maintenance methods. Topic discussions will include why early IIoT attempts have failed, challenges involved with IIoT, and key elements for successful IIoT implementation.
Learning Objectives:
1. Why the industrial space needs IIoT
2. Why early IIoT attempts have largely failed
3. Four keys to a successful IIoT solution
Presenter: Dr. Andy Zimmerman, Ph.D., CTO, Grace Technologies
Dr. Andy Zimmerman, CTO of Grace Technologies, has spent the past 15 years developing wireless sensing and cloud-based health monitoring systems for both civil infrastructure (bridges, buildings, etc.) and industrial machinery (pumps, presses, etc.). Dr. Zimmerman holds a Ph.D. in Civil Engineering and an M.S.E. in Computer Science & Engineering from the University of Michigan, and he started his own company, Civionics, in 2009 to help transition his structural health monitoring research from lab to industry.
After building a proprietary cloud-based wireless predictive maintenance platform on the back of grants and contracts from DoD, DHS, NSF, USDOT, and other corporate clients, Dr. Zimmerman sold Civionics' IP to Grace Technologies in 2018 and took a position as the Grace CTO. Since then, he has helped shape Grace's technology strategy, managed the Grace engineering department, and served as the primary architect and technical lead for the GraceSense line of Predictive Maintenance and Industrial Internet of Things technologies.