How PdM Data Can Define Optimal Operating Procedures

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 Use real equipment data to fine-tune daily operations for better performance

Key Takeaways

  • Predictive maintenance is not just for catching failures — it helps you run machines at their best.
  • The trend of vibration, temperature and flow suggests how operational conditions affect the asset.
  • Small change in load, speed, or process settings can reduce stress and extend equipment life.
  • PdM data-driven procedures lead to fewer breakdowns, higher efficiency, and lower costs.

Old Way -One-Size-Fits-All Operation

Most plants run equipment at fixed settings based on OEM manuals.
Problems with this approach:

  • The fact that variations of real life processes affect the machine's health.
  • Pump, fan and compressors are more difficult than necessary.
  • Increases wear, energy costs, and surprise failures.

New Way - Data Driven Operations

PdM data shows what really happens during daily shifts:
  • Identify ideal operating ranges where machines vibrate least.
  • Set new SOPs for start-up, shutdown & speed changes depending on the actual machine behavior.
  • Spot conditions that cause stress - overload, cavitation, misalignment.

Example:
  • The vibration of a pump jumps on 85% flow- Run it to 75% to avoid  bearing damage.

How It Works - Simple Actions, Big Results

  • Use vibration trends and analysis to adjust load set points.
  • Merge it with flow, pressure & temperature readings for full picture.
  • Update operator checklists to stay within healthy limits.
  • Review data monthly to refine procedures.

Why It Matters for Your Business

  • Less unplanned  shutdown.
  • Lower energy costs.
  • Longer life for bearings, seals & shafts.
  • Operators become proactive, not reactive.

Your PDM program becomes a continuous process improvement tool - not just a fault detector.

Final Word -Let Your Machines Tell You How to Run Them

When you use PdM data to shape daily operations, you stop guessing and start optimizing.

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