Startseite
Podcasts
Trend Detection Podcast Podcast
Rethinking Predictive Maintenance: The Signals Hiding in Plain Sight

Rethinking Predictive Maintenance: The Signals Hiding in Plain Sight

Trend Detection Podcast vor 4 Wochen

0:00

33:13

Welcome to the Trend Detection podcast, brought to you by Senseye
Predictive Maintenance – which gives you visibility and insights
into all your assets, from single machines to full plants to help
you reduce downtime, increase knowledge sharing and accelerate
digital transformation across your organization.This is the second
episode in Rethinking Predictive Maintenance, a Trend Detection
podcast series exploring the people, data and decisions behind
successful predictive maintenance.Host Niall Sullivan is joined by
Tom Jacques to explore how an International Tech Talents project
turned existing PLC status lights into a new source of machine
data. Using a camera, the team monitored the lights controlling
automated railway points and combined the information with Senseye
Predictive Maintenance to identify changing behaviour, without
adding sensors or altering the existing control logic.Tom discusses
what the demonstrator could mean for manufacturers whose machines
may already display useful information that is not currently being
captured as data. He also explains where non-intrusive monitoring
could be valuable, what further testing would be required for
operational use and how collaboration across Siemens helped
transform the original idea.In this episode, you’ll learn:How a
camera turned existing PLC status lights into usable dataHow the
demonstrator identified changes in machine behaviourWhy
non-intrusive monitoring could help when systems are difficult to
modifyWhy manufacturers should consider the information their
machines already displayHow cross-business collaboration changed
the direction of the projectListen to discover why some of the
machine signals manufacturers need may already be hiding in plain
sight.You can find out more about how Senseye Predictive
Maintenance can reduce unplanned downtime and contribute towards
improved sustainability within your manufacturing plants, by
visiting: www.siemens.com/senseye-predictive-maintenance