Background
Successful on-line surveillance based condition monitoring and evaluation relies on acquiring
data at known, repeatable machine operating states and reporting detected abnormalities as
quickly as possible. Most industrial machinery operates at reasonably steady states for
extended periods. These machines are relatively easy to diagnose, as changes in their
“condition indicating characteristics” can normally be attributed to changes in their physical,
mechanical health. Identifying the operating state, beyond the simple verification that a
machine is running or not, to control when data should be collected is usually not required.
Unfortunately, not all industrial machinery can be expected to always be running at known,
repeatable conditions.
The objective is not to alter or suspend production to put a machine into a known, repeat-
able state to make measurements; rather, it is to maintain production and make measurements when, in the cycle of normal operation, the machine is operating in an identifiable,
repeatable state.
Comments
0 comments
Please sign in to leave a comment.