Hi, I'm Nicole Bulanda from Rockwell Automation
Automation. Thanks for joining us for automation Fair on demand. We're here in the
technology and service to Showcase to talk about something new that we're going to be
launching. I'm joined by Richard to give us a little bit more background. Hey
Richard. Hey, Nicole, so I'm really excited here to
tell you about a brand new product that we're going to be launching called Factory talk
analytics Guardian AI what this is doing is it's really helping our maintenance engineer
and operations Personnel to understand the performance of the equipment and Help reduce
unplanned downtime. We've got a predictive analytic that looks at the equipment
operating under normal conditions create a Baseline and then be able to analyze the
deviation from that Baseline to do an early onset of anomaly detection and then to go
beyond anomaly detection to identification where we're utilizing high frequency data and
we'll talk a little bit about the equipment soon in order to essentially create a unique
fingerprint to that anomaly deviation and to be able to identify it to reduce the
investigation time. Got it. So I love what we're showing. Showing here is actually a
two-part demo. So we're showing the software that you just talked about. But we're also
showing it paired with our powerflex Drive. Can you talk about why we chose to do that?
Yes, our powerflex drive in this case is acting as a sensor. So the powerflex drives
already going to be there anyways, because it's being used to power this motor in this
example. And in this case, we're showing you a pump system where the pump is being used to
essentially move this liquid around. This is going to be all over the place right? It's
crossed Industries. We're going to have oil and gas we're going to have
Applications that we're going to be able to use this at we're we're essentially using the
powerflex drive driving the application and this is acting as a sensor. So we're
extracting the electrical signature of the system from the powerflex drive using that to
create a Baseline and because we are utilizing the electrical signature at such
high frequency. We can do the analysis of that signal to essentially bring in identity
to that issue. So now we're going Beyond telling you what
there's a problem but to identify what it is and in some cases We will have no idea what
the problem is. And what we're doing then is asking the maintenance engineer or the
operations Personnel to run their investigation as they normally would
and then give us the feedback and train Guardian AI to new failure modes that are
going to be very process Centric and very specific to their application
and all of this has an overall Vision to really bring the connected Enterprise within
Rockwell to connect the insights from Guardian EI to fix cmms so that we can then
issue a maintenance order to go and fix the issue. And to give that that label
essentially to say this pump is going to issue a maintenance ticket and let's
go and fix it. I love it. This is totally transforming the way we think about
maintenance right? It's no longer. We're waiting for something to fail and then we're
figuring out what caused it and fixing it. Now, it's we're predicting what might fail
we're learning from root cause and we're using AI to help us be better in the future.
Exactly. So this is going Beyond anomaly detection, but really to root cause analysis
with an overall goal to take it from predictive maintenance to pavilion8. Scripted
maintenance. Once we have that connection to cmms. Now, we can tie in the maintenance
procedures that the customers already have for that equipment. We know what the label is
we know what the issue is. So let's go and tell them exactly what the
instructions are going to be to go and resolve it. Awesome. Thank you so much
Richard. Thanks get excited about factorytalk Guardian AI Thanks for joining us
for this automation Fair on demand tour.