Meana Petro
FA-01FoundationalWave 1IoTAI

Rotating Equipment Condition Monitoring

In one sentence

Listens to pumps, compressors and turbines continuously and identifies the specific defect — bearing, imbalance, misalignment, looseness — from the vibration signature.

The problem

Vibration monitoring in most fields is a quarterly route with a handheld collector. A bearing that begins to fail the week after the route was walked runs to failure with nobody watching, and the resulting shutdown is recorded as a random event.

How it works

Permanently installed accelerometers stream to an edge node that computes envelope spectra, band energies and bearing defect frequencies continuously. Defect identification uses the machine’s kinematics — shaft speed, bearing geometry, vane and blade counts — so an alert names the component rather than only reporting that vibration rose.

Data required

  • Accelerometers on the drive and non-drive ends of each monitored asset
  • Machine kinematic data: shaft speed, bearing part numbers, gear ratios, vane counts
  • Process context: flow, suction and discharge pressure, motor current
  • Maintenance history mapped to ISO 14224 failure modes

What you get

  • Continuous health index per asset with defect-specific alerts
  • Spectral evidence attached to each alert for the reliability engineer
  • Work-order recommendation with lead time and the failure mode named

What it cannot do

Vibration analysis detects mechanical degradation with good lead time and is close to blind to failures that develop without a mechanical signature — instrument faults, control problems, internal erosion in a reciprocating compressor valve. It covers roughly the failure modes that vibration covers, which is a majority of rotating failures and not all of them.

Every capability page states a real limitation. If a vendor cannot tell you where their product stops, you are not being told the truth about where it starts.

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