Rotating equipment such as motors, pumps, fans, and compressors accounts for a large share of unplanned stoppages in industrial plants. Predictive maintenance (PdM) aims to detect developing faults early so repairs can be scheduled instead of forced.
Core Condition Monitoring Techniques
- Vibration analysis: reveals imbalance, misalignment, looseness, and bearing or gear defects.
- Infrared thermography: finds hot spots in bearings, couplings, and electrical connections.
- Oil analysis: detects wear metals, contamination, and lubricant degradation.
- Ultrasound: picks up early-stage bearing friction and compressed air or steam leaks.
Building a Practical Program
Begin with a criticality ranking. Identify the machines whose failure would stop production, create safety risks, or cost the most to repair. Focus monitoring on those assets first rather than trying to cover the whole plant at once.
Next, establish baselines. A vibration reading is only meaningful when compared against the machine's own healthy condition and against recognized severity guidelines such as those in ISO 20816. Trend data over weeks and months is far more useful than a single snapshot.
Common Pitfalls
Many programs fail because data is collected but not acted upon. Define alarm limits, assign responsibility for reviewing results, and connect findings to work orders in your maintenance system. Training technicians to interpret basic spectra also pays off quickly.
Done well, predictive maintenance reduces emergency repairs, lowers spare parts inventory, and extends equipment life. The key is to start small, prove value on a few critical machines, and expand steadily.