Basic condition monitoring is essential for achieving
maximum bearing service life
To help ensure long bearing service life, it is important
to determine the condition of machinery and bearings
while in operation. Good predictive maintenance will
help reduce machine downtime and decrease overall maintenance
To help you achieve the maximum service life from your
bearings, SKF has developed a wide range of measuring
instruments for analysing the critical environmental
conditions, which have an impact on bearing and machine
The SKF range covers the most important parameters for
measuring machine condition to achieve optimum bearing
Run to failure
Run to failure occurs when repair action is not taken
until a problem results in machine failure. Run to failure
problems often cause costly secondary damage along with
unplanned downtime and maintenance costs.
Preventive maintenance implies that a machine, or parts
of a machine, are overhauled on a regular basis regardless
of the condition of the parts. While preferable to run
to failure maintenance, preventive maintenance is costly
because of excessive downtime from unnecessary overhauls
and the cost of replacing good parts along with worn
Preventive maintenance is similar to the regular service
of a car.
Often unnecessary maintenance is performed.
Condition monitoring/predictive maintenance is the process
of determining the condition of machinery while in operation.
This enables the repair of problem components prior
to failure. Condition monitoring not only helps plant
personnel reduce the possibility of catastrophic failure,
but also allows them to order parts in advance, schedule
manpower, and plan other repairs during the downtime.
With condition monitoring, machinery analysis takes
two overlapping forms; predictive and diagnostic.
Condition based maintenance means repairs are only carried
out when required.
The most effective alternative.