PROGNOST® UP! Detect delivers AI-powered diagnostic support for reciprocating compressors.
The solution continuously analyzes available machine and process data to recognize abnormal operating patterns and identify potential equipment issues as they develop.


By converting complex compressor data into clear, actionable insights, UP! Detect helps maintenance and reliability teams focus their attention on assets that may require further investigation. Earlier awareness of changing equipment conditions can support more targeted inspections, better maintenance planning, and informed condition-based maintenance decisions.


UP! Detect complements existing condition monitoring and reliability programs by reducing the effort required to review large volumes of machine data. Its automated analysis also helps organizations apply diagnostic knowledge more consistently across monitored compressor assets.


With clearer visibility into developing conditions, plant personnel and reliability specialists can collaborate more effectively, prioritize their response, and support the safe and reliable operation of critical compressor equipment.
PROGNOST®-Up Detect

Specs

Product Type
AI-powered compressor diagnostics
Supported Equipment
Reciprocating compressors
Analysis
Automated machine and process data analysis
Outputs
Actionable diagnostic insights
Application
Condition-based maintenance

Features

  • Failure-based alarms
  • Receive automated alerts with component-specific recommendations to support fast and effective responses
  • Automated anomaly detection
  • AI-powered models learn normal compressor behavior and automatically detect abnormal operating conditions
  • User-friendly condition monitoring
  • Monitor compressor health through a clear and intuitive interface designed for everyday operation
  • Cloud-based access
  • Access compressor data, trends, and condition insights anytime from virtually anywhere
  • Expert data assessments
  • Benefit from regular data reviews and actionable recommendations provided by condition monitoring specialists
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