Accelerating Performance with the Artificial Intelligence of Things
Figure 3: Automotive Engine and Casting Defects
(we can), we can train an algorithm to adjust
the chillers in a data center or the blade
angle of a wind turbine, or to dispense the
right amount of medicine at the right time.
Infrared patterns for heat buildup in power
substations – Using specialized cameras, you
can capture images for different spectrums.
Infrared cameras can capture a more
complete picture of temperature deviations
and patterns than what would be possible
with individual temperature sensors. This
allows for new applications such as
monitoring
power
substations
for
components getting ready to fail.
This adaptive, predictive and “learning”
capability is particularly important in the
Industrial Internet of Things (IIoT) because
there is so much at stake where system
failures and downtime can result in life-
threatening or high-risk situations.
If we can train an algorithm to suggest the
next best move in the complex game of Go
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June 2019