©PhononIA Ltd. 2020
Making valves
immune to failure
Making valves
immune to failure
Predictive maintenance helps diagnose
the condition of an asset to estimate
when maintenance should be performed.
It is considered to be one of the driving
forces for improving productivity.
Benefits:
• Cost savings
• Prevention of unexpected shutdowns
• Increased plant safety, fewer accidents
• Optimized spare parts handling
• Convenience - scheduled maintenance
• Increased materials production
Making valves
immune to failure
©PhononIA Ltd. 2020
Making valves
immune to failure
Making valves
immune to failure
Predictive
maintenance
• Relies on the actual asset
condition to predict when
maintenance is required.
• It typically uses Machine
Learning for diagnostics
and forecasting future
states.
• Relies on the asset’s
average expected
life statistics.
Preventative
maintenance
vs.
Predictive maintenance components:
• Data collection and pre-processing
• Early fault detection
• Fault detection
• Time to failure prediction
• Maintenance scheduling
• Resource Optimization
Making valves
immune to failure

What is predictive maintenance

  • 1.
    ©PhononIA Ltd. 2020 Makingvalves immune to failure Making valves immune to failure Predictive maintenance helps diagnose the condition of an asset to estimate when maintenance should be performed. It is considered to be one of the driving forces for improving productivity.
  • 2.
    Benefits: • Cost savings •Prevention of unexpected shutdowns • Increased plant safety, fewer accidents • Optimized spare parts handling • Convenience - scheduled maintenance • Increased materials production Making valves immune to failure
  • 3.
    ©PhononIA Ltd. 2020 Makingvalves immune to failure Making valves immune to failure Predictive maintenance • Relies on the actual asset condition to predict when maintenance is required. • It typically uses Machine Learning for diagnostics and forecasting future states. • Relies on the asset’s average expected life statistics. Preventative maintenance vs.
  • 4.
    Predictive maintenance components: •Data collection and pre-processing • Early fault detection • Fault detection • Time to failure prediction • Maintenance scheduling • Resource Optimization Making valves immune to failure