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Condition monitoring is based on trending. It requires that suitable sensors be used, dedicated parameters be monitored, baseline (normal condition) be defined and trend of the data be captured to identify condition changes. Effective condition monitoring requires that all abnormal conditions be identified through comparisons with normal or baseline conditions. But it is not possible for each and every component of a complex power generation train to be identified in such a manner. Major machine component considered in common condition monitoring programs are:
Bearings, including radial and thrust bearings
Seal and packing
Rotor (shaft or crankshaft mechanism)
Auxiliaries, such as lube oil system, seal system cooling system and so on.
Regardless of the type of rotating machine, monitoring these component categories determine the condition of the machine.
It is important to obtain baseline information as soon as possible after starting up the power generation train. Baseline conditions are usually ignored in projects and this badly affects condition monitoring. Without a baseline, there is no reference point for comparing and interpreting data.
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