About
9am Berlin / 12:30pm Mumbai / 3pm Singapore -- --

Join Honeywell's APM specialist, Ben Berwick, as he discusses how Honeywell leverages Asset Performance Management technology to recognize the earliest onset of rotating machinery issues.

The rapid pace of predictive analytics, artificial intelligence and digital twins for industrial assets is proving revolutionary in how asset intensive organizations benefit from the actionable information provided by asset performance management (APM) software. A key element in deriving value from APM solutions is the ability to detect asset issues very early, yet to do so effectively, APM systems are only best when underpinned by expert knowledge and traditional fundamental machinery diagnostic methods, in addition to modern analytical means.

In this webinar, Honeywell provides a view of what should underpin asset monitoring and machine learning to recognize the earliest onset of machinery issues. Honeywell will provide examples of how identification of early issue onset in rotating equipment is found through marrying tried-and-true diagnostic methods with the today's data processing capabilities.

This is one of two identical sessions offered at different times to suit schedules around the world. Pick whichever session is most convenient for you.

More convenient North/South America times:
https://www.bigmarker.com/ptqdr/Asset-Performance-Management-2

When
Monday July 6, 2020, starting at 12:30 PM IST
WEBINAR ENDED
Presenters
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Ben Berwick
Strategic Marketing Specialist - APM, Honeywell
Ben Berwick is a Strategic Marketing Specialist for Honeywell's Asset Performance Management solutions. He joined Honeywell in 2018 with over 20 years of experience in various roles, including electronic and software design engineering, new product development management, and operations leadership for GE/Bently Nevada, Rolls-Royce and Dresser-Rand. Throughout his career, Ben’s work has focused entirely on creating machinery diagnostics and intelligent asset solutions that improve the reliability and productivity of industrial machinery.

Ben possesses a B.Sc. Electrical Engineering from Texas A&M University and an MBA from the Jones School of Business at Rice University.
1593616372-78140ef1429bbc8b
Eliana Fernandez
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