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DOE-STD-1052-93
3.4.4.2
Predictive maintenance should be limited to components and systems that
are significantly important to the safe and reliable operation of the plant.
The program should collect, trend, and analyze data and initiate planned
actions for degrading equipment. The effectiveness of the program is
dependent on the accuracy of equipment degradation rate and time to failure
assessment.
3.4.4.3
Management commitment, control, and overview are essential for the
success of a predictive maintenance program. This section contains a
summary of key principles and program elements for a predictive
maintenance program. The example program is provided to assist plant
personnel in the development and implementation of a predictive
maintenance program. Although the key elements of the program are
applicable to all plants, some of the details may need to be modified to
reflect individual plant conditions and needs.
3.4.4.4
Selection of Predictive Maintenance Techniques
a) Many different predictive maintenance techniques are used throughout
the industry.  The following is a description of some predictive
maintenance techniques that may be used:
Vibration Monitoring and Diagnostics - a technique used for the
monitoring and analysis of plant rotating equipment - This technique
is used to analyze displacement, velocity, and acceleration
parameters to predict the need to correct problems such as bad
bearings, poor alignments, or improper balance.
Lubricating Oil Analysis, Ferrography, and Grease Analysis -
techniques used for the early detection of lubricant breakdown and
abnormal wear
1)
Lubricating oil analysis monitors the actual condition of the oil
itself.  Parameters measured include viscosity, moisture,
"additive" package and the presence of other contaminants.
2)
Ferrography is a technique used to analyze oil for metal wear
products and other particulate. Trending and analyzing the
amount and type of wear particles in a machine's lubrication
system may pinpoint where degradation is occurring.
14


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