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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 costs.
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 performance.
The SKF range covers the most important
parameters for measuring machine condition to achieve optimum bearing
performance:
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Temperature
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Speed
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Noise
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Oil condition
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Vibrations
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Bearing condition
Maintenance Concepts
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
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 parts.
Preventive maintenance is similar to the
regular service of a car.
Often unnecessary maintenance is performed.
Predictive maintenance
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. |
