Use this space to discuss and ask questions about Exercise 2 - Select CBM Methodologies for Your Asset
I am monitoring the condition of pillow block bearings. I am using permanently mounted accelerometers for vibration analysis.
For each of the factors, a case statement should be developed that compares the actual condition
indicator to a set of values and determines a result of a number between 0 and 10. A default or typical
value should be provided for missing data.
With this method, the result should be a number between 0 and 10. You can determine whether you
prefer 0 or 10 to be good or bad based on the evaluation of the case statement. The condition
assessment algorithm should be peer group specific and applied periodically to each asset within the
peer group and the result (CA and each factor) historized to provide the ability to associate and asset
with its CA and trend these values.
Sounds like you are well on your way, I'll be interested to see what your project looks like!
We have several distributed plants i.e. remote plants connected with a centralized PI system. Major assets for CBM includes but not limited to Pumps/Motors, Compressors, etc.
We are performing a project that will use information from process (incipient failure detection) and from condition monitoring like Vibration, temperature, etc, to develop some predictive models in PI AF. This models works like a condition assessment that gives different scores for each defects and generate a Health score for the equipment. We defined the main defects with a Fmea based in Maintenance information by our Computerized Maintenance Management System (SAP) (like described in Condition Based Maintenance).
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