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Trend Detection Podcast Podcast
When Predictive Maintenance Isn't the Answer - with Jordan Walters

When Predictive Maintenance Isn't the Answer - with Jordan Walters

Trend Detection Podcast vor 1 Tag

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28:46

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.Predictive
maintenance can transform how manufacturers approach equipment
reliability, but that doesn’t mean it’s the right solution for
every asset, failure mode or situation.In this episode of the Trend
Detection podcast, we're joined by Jordan Walters, Delivery Lead at
Siemens, to explore when predictive maintenance makes sense, and
when a different maintenance approach might be the better choice.In
this episode, they discuss:Why the most critical assets aren’t
always the best place to start with predictive maintenanceThe
importance of having the right data, not simply more dataHow asset
selection, failure frequency and available lead time can determine
whether predictive maintenance will deliver valueWhy context is
essential for AI to interpret machine behaviour effectivelyThe
difference between not being ready for predictive maintenance and
predictive maintenance not being right for a particular use caseWhy
predictive maintenance should complement, rather than automatically
replace, other maintenance strategiesThe role of maintenance teams
and human expertise in validating insights and turning predictions
into actionThe three foundations for success: the right data, the
right machines and the right peopleYou 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