For Asset Optimization.
Predictive maintenance PdM aims to find measures of machinery condition and use them to prevent breakdowns. Establishing trends allow accurate pinpointing of machinery problems and their severity. Increasing up time on machines is the primary aim, while reduced likelihood of secondary failures and less unnecessary maintenance are additional benefits.
Condition Monitoring is most frequently used as a Predictive or Condition-Based Maintenance technique. Condition Monitoring uses advanced technologies in order to determine equipment condition, and potentially predict failure.
BSC’s Predictive Maintenance Program utilises Azima DLI technology. Azima DLI is a world leader in condition monitoring services to industry delivering a wide range of technologies and services that reduce maintenance costs whilst ensuring maximum equipment reliability.
The BSC – Azima Watchman Remote is a robust, automated monitoring and diagnostic service that links industries critical equipment with our best systems engineers and analysts via automated alarms and advanced internet technologies 24/7. When an alert occurs our analysts are called into action immediately reviewing detailed machine data to assess condition and recommend the most cost effective actions available. Remote program benefits include reduced failure risk and allows for just-in-time maintenance of equipment.
Our expertise spans all areas of condition based maintenance, including:
- Vibration analysis
- Onsite data collection
- Lubrication analysis
- Infrared thermography
- Laser alignment
- Failure analysis
- In situ balancing