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Organizing a Successful PdM Program
by Dennis
Shreve,
Commtest
Predictive
maintenance is a systematic method of monitoring and trending
rotating equipment on a regularly scheduled basis to determine
the condition of machines subject to wear and tear. On-line
detection, trending, and diagnostics methods provide an early
warning of potential problems and virtually eliminate the need
for periodic disassembly and inspection, and the possibility of
an unexpected breakdown.
There are
twelve essential steps in building a Predictive Maintenance
Program. The flow diagram below shows the progress of these
steps.

1.
Plant survey
2.
Machine
selection
3.
Select optimum condition monitoring techniques
4.
Establish predictive maintenance system
5.
Set and
review acceptable condition data and limits
6.
Machine
baseline measurements
7.
Condition
measurement
8.
Data
collection
9.
Data
recording
10.
Trend
analysis of faults detection
11.
Condition
analysis
12.
Fault
Correction
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