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ML
components, AI could help determine the appro-
priate frequency and lubricant to use for each
unique application. In inspections, AI could
interpret the results or identify subtle changes
in a machine's condition that might have been
overlooked. However, human inspectors would
still be necessary due to their ability to perceive
peripheral details.
For change-outs, AI could automate
the selection process by considering various
variables, such as pricing, availability, and
specifications. Regarding lube room duties, AI
could handle the procurement of lubricants by
reviewing usage history, current volumes, and
future maintenance plans.
In the area of lubricant sampling, AI could
provide valuable insights by analyzing larger sets
of data and identifying potential issues or trends
more easily than a human observer.
While AI adoption is on the rise, its full
impact is yet to be realized. e successful
implementation of AI will require a cultural
shift within facilities, and data integration will
be crucial for meaningful recommendations
and contributions.
Despite the potential challenges, AI is
expected to have a significant impact on oper-
ations, maintenance, and reliability in various
industries. e hope is that this technology can
contribute to driving reliability in everyday prac-
tices. In the meantime, AI continues to be used
for more lighthearted purposes such as writing
songs and jokes. ML
