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EXAKT
combines equipment age, condition variables, and economical
consideration to model and assist maintenance function with
repair/replace decision |
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Predictive maintenance is often regarded as the most advance and
desirable form of maintenance. Organisations have spent millions in
upgrading their capability to perform effective condition based
monitoring. Many have purchased a wealth of advance monitoring tools
perceived to automatically enable the maintenance workforce to
effectively predict the impending failure of assets. However, in many
cases, these concepts are difficult to realize and in some cases they
are simply elusive. While almost any type of asset condition data can
easily be monitored and captured, it is sometimes difficult, if not very
difficult, to interpret the data and turn them into meaningful
information to enable the organisation to make the correct
replace/repair decision. Even more concerning are the cases whereby as a
result of condition monitoring practice have led to the wrong decisions
being made. Hence, many organisations have found that the practice of
condition monitoring has simply become an exercise to collect asset data
without any (or only minor) improvement in asset reliability.
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