Correlation
= confirmation
by Arne Oas
While driving your car, the car
sputters to a stop and the fuel gauge reads empty.
These are fairly strong indicators of a
problem. Each indication is separate and individual, but taken
together, you are pretty sure you have run out of gas.
What you’ve just done is perform
correlation analysis. It’s defined as the use of more than one
related analysis and/or technology to confirm a condition. It is the
second analysis type covered in this Coach series.
You usually find correlation analysis
used in conjunction with predictive maintenance technology. It’s
ideal for those applications. There, one technology can indicate a
problem area. The second or third is used to further identify and
isolate the problem for subsequent repair.
For instance, vibration, oil wear
particle, thermal, and filtration/debris technologies can effectively
be used together to analyze equipment health of a gearbox. New CMMS
functionality can now perform this type of analysis across
technologies.
You can use predictive correlation
analysis with the heat exchanger example we talked about in the last
issue (visit Coach Oas' archives on this site to refresh your memory).
Say we are monitoring its performance
by tracking the temperature differential (out minus in) across the
heat exchanger. Our monitoring shows that the temperature differential
is changing, but it doesn’t tell us why.
The reason can be hard to identify
because heat load, cooling water flow, fouling and total heat transfer
all play a part and are related to one another. Together, they
determine the temperature difference across the heat exchanger.
For example, fouling of the tubes’
surfaces increases the tubes’ thermal resistance to heat transfer.
That, in turn, limits the amount of heat removed by the water passing
through the tubes, which should cause the temperature of the cooling
water to decrease. However, blocking of the tubes reduces cooling
water flow rate and, subsequently, the amount of water available to
remove heat from the hotter fluid.
With the reduced flow rate, the coolant
stays in contact with the tubes for a longer period of time,
collecting more heat. Therefore, the coolant outlet temperature will
rise. All these factors create the need for a second verification or
correlation of the problem’s cause.
The verification that fouling is the
problem is done through the use of flow analysis.
To better understand the condition of
the heat exchanger, utilize the correlation between the flow and
thermal analysis. When the heat exchanger started to foul, the flow
decreased and the temperature differential of the cooling water
increased. Both the decrease in flow and the increase in temperature
differential are indications that the heat exchanger is fouling.
Either analysis could stand on its own,
but taken together, they are more forceful and credible. Together,
they provide a strong picture of what is really happening and will
happen to the heat exchanger in the future.
The real advantage to you from this
type of analysis comes from the ability to identify and correct the
real problem when the second technology or analysis confirms the
results of the first.
Arne Oas is the senior maintenance
consultant at Management Resources Group. If you have a maintenance
management software question, contact Coach Oas at 215-918-2165, or
e-mail oasa@mrginc.net.
This article appeared in the
December 2001/January 2002 issue of MRO Today magazine. Copyright
2002.
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