march2021 - 21

events due to unscheduled component removals. This tool is mainly
used by airline maintenance control in order to support preventive/
predictive maintenance decision on the aircraft, " said de Bree.
Honeywell's predictive maintenance platform - Honeywell
Forge - is an end-to-end solution. " We can capture data on the
aircraft. We have products in terms of sensors and gateways. And,
we can aggregate that on the aircraft, " said Peterson. " We also can
create connections with the airline data centers through APIs.
What we do is we bring over data to be organized and processed
that the airline determines is data they want to share with us for
their exclusive purpose. And then, what we do is we parse and create an ontology or a standardized method of analyzing that data
" Then, what we do is we create algorithms and we process that
data and then we create a user experience so they can interact
with their data and they can get easy buttons, simple solutions.
And then we also have a notification engine that provides them
insights and actions and activities that need to occur in real time.
And so, we have the solution completely end-to-end. We call that
Honeywell Forge, " Peterson continued.

" The downside of predictive maintenance is
that in order to be effective, it requires many
players in the industry to share data. "
keeping you in the air . . .
Of course, collecting all of the data need to make predictive
maintenance feasible goes back to the need for sensors in the aircraft, which Peterson said is on of the hurdles holding back the
technology from taking off.
" When you talk about a 737, it's an older design that has very
few sensors, that has a number of areas where we would like to
see more data coming off the aircraft, " Peterson said. " You take a
look at something like a triple seven, it has numerous generations
associated with it and so it's different for each generation. And then
you take a look at something like an Airbus A350 or a 787, it's more
of latest generation and so there's not as much that is needed there.
" So, we really need to see where the airlines are more communicative and the airframers are providing folks like us more
information on these are the real pain points we need to have
addressed now. "

Seeing the Future
Equipping planes with the right sensors to make predictive maintenance work is one hurdle; another is making data sharing cohesive
across the globe.
" What we want to see in order to get this data put to the best
use is we really need to see it globally. Depending upon where the
airline is in the world and depending upon all the different rules
associated with an airline, depends upon how much data you can
see and how much data you can use, which has an impact on how
effective your analytics can be, " said Peterson.

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Table of Contents for the Digital Edition of march2021
