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Abstract
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In a competitive world all equipment must
maximize its availability. The predictive maintenance objective is
to follow the evolution of its use and the tear that results from the
dynamics of components.
Nowadays, with the evolution of technology it is possible to
check and detect almost every problem. In critical organizations,
like paper industry, chemical industry, oil industry, and so on, it
is necessary to follow the “health” of the most part of equipment
in general, and the vital ones in particular, because even small
errors can cause a lot of monetary damages.
This type of companies need to check every detail of their
assets. The majority of the companies use a lot of technology to
evaluate the condition of each critical component. They want to
know the value of on-condition variables like vibration
monitoring offline, vibration monitoring online, thermograph, oil
analysis, and so on.
However, having lot of offers of equipment for diagnosis and
a lot of offers of maintenance services by specialized companies,
the factories didn’t increase the predictive maintenance level
because they aren´t sensitive enough to do that. The pressure that
the international economic market has in companies causes
factories to work every minute they can before equipment and
components break. Companies try to delay the time of each
maintenance intervention, but this delay, when it is done without
on-condition accompaniment increases the total maintenance
costs, which increases the total value of equipment maintenance,
both direct and indirect. In this case, the predictive maintenance
can have an important role to increase the production time.
These are the main topics that will be handled in the paper
industry, with focus on vibration monitoring applied in a paper
factory, including maintenance analysis versus cost analysis.
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