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AMAI Signal

Predictive monitoring of equipment condition

The system tracks machine condition, flags anomalies, warns of failure risk and helps plan maintenance from actual data.

System description

AMAI Signal continuously tracks machine condition, raises automatic alerts when it detects deviations, and gives you tools to plan maintenance from actual data. This helps prevent unplanned downtime, cut repair costs and extend equipment life.

Automatic signal analysisAI models analyze equipment data around the clock
Early anomaly detectionFlags unusual signals and early signs of a possible fault well before failure
Instant alertsImmediate notice of critical changes in condition

Rollout steps

1

Equipment assessment

We identify the critical components and the parameters to track

2

Sensor installation

We wire up vibration, temperature and other signals

3

Model tuning

We train the models on your plant's own data

4

Monitoring goes live

We hand your team dashboards, alerts and response procedures

What the system does

The focus is fewer stoppages, and a shift from scheduled maintenance to condition-based maintenance.

Tracked parameters

  • Vibration and peak values
  • Bearing temperature
  • Motor current
  • System pressure

Fault diagnosis

  • Rotor imbalance
  • Bearing wear
  • Shaft misalignment
  • Loose fastenings

Economic effect

  • Fewer unplanned stops
  • Condition-based maintenance planning
  • Fewer emergency repairs
  • Longer equipment life

AMAI Signal savings calculator

Estimate the potential savings from predictive analysis at your plant

Enter your details

Annual savings
Monthly savings
Stops prevented
Hours saved
Savings on downtime
Lower maintenance costs

The estimate assumes unplanned downtime falls by 70%

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