IR Services - Process Monitoring
As part of our Process Monitoring Program, IR Services inspects and monitors the condition of equipment to detect mechanical and electrical problems at the earliest stages, before a failure occurs. Process Monitoring gives you the convenience of scheduling your repairs when the necessary parts and personnel are available. This proactive approach to maintenance allows recalling information on any piece of equipment from the database to evaluate equipment trends and predict possible failures.
Predictive Maintenance Applications
- Electrical equipment inspections
- Mechanical equipment inspections
- Manufacturing process evaluations
- Inspections for leaks in building insulation
- Roof condition inspections
A Proactive Maintenance Strategy
- Predictive maintenance reflects a sound management philosophy–it means you are managing the maintenance process rather than maintenance emergencies controlling your operation
- A predictive maintenance strategy makes it possible to set your own repair schedules
- We catalogue the information into a historical database you can use to easily spot anomalies as you monitor equipment deterioration over time
Benefits of Predictive Maintenance Inspections
- Reduce Operational Risk – PdM provides a proactive approach to maintenance control, rather than a reactive response to equipment emergencies that cause unexpected shutdowns
- Relies on periodic Condition Monitoring (CM)
- Ability to determine the degree of component degradation
- Identifies many problems at the earliest stages, before costly failures occur
- Perform maintenance tasks based on need, rather than an arbitrary schedule
- Increases the efficiency of your maintenance personnel - Eliminates time once wasted on jiggling wires in attempts to diagnose problems
- Pre-identifies problems before they become failures
Prevent or Reduce Equipment Damage
- Spot small problems before they can become big problems
- Prolong the life of expensive capital equipment
- Prevent or minimize catastrophic failures