Today's increasingly technologically sophisticated equipment enables AI to reliably predict potential issues, giving you the ability to proactively address a failure before it has a major impact on operations.
|Conventional Preventive Maintenance
|Regular Inspection Work
|Automated by the system
|Lines had to stop to perform inspections
|No line-stop required, continuous monitoring
|Difficult to assess suspect parts without data
|Uses machine learning with concrete vibration, temperature and noise data
|Quality of maintenance outcomes depends on the judgment and experience of service technician
|Improved accuracy based on quantitative AI data analytics
|Quality of Work
|Part replacement workmanship depended on a manual checklist
|Sensors detect minor defects in workmanship
|Sudden Machine Trouble
|Sudden machine trouble depended on the inspection cycle
|With continuous monitoring, sudden machine trouble is zero
Overlooking subtle changes in vibration of equipment is not an option!
Fluctuations in data are analyzed by AI to signify potential failures and issue an alert.
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