Organising a Successful PdM Program

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 is available by using the link below.

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

Tip Provided by Dennis Shreve
Commtest Inc.
http://www.commtest.com

Download a 12 Step flow diagram with this tip (PDF)

Monetary Measures of PdM Impact

If a PdM program is successful the following things happen:

1. Increased system availability for production
2. Increased throughput at higher sustained levels
3. Increased value of capital invested due to life extension and deferral of new capital requirements
4. Increase in assured product quality

Note: To get accurate figures for comparison a baseline set must be generated before the PdM program goes into effect.

Tip excerpted from "Predictive Maintenance Management" Course workbook by Jack Nicholas Jr. available at http://www.masteringmaintenance.com

Send mail to mace@macecg.com.au with questions or comments about this web site.
Last modified: 01/15/11