Asset & System Reliability| Add-on Modules

Shell Predictive Maintenance Rotating Equipment

Shell Predictive Maintenance Rotating Equipment


Detect rotating equipment anomalies early to improve availability and reduce maintenance cost of rotating equipment


  • Monitor the health of key rotating equipment classes including centrifugal pumps, centrifugal compressors, dry gas seals and turbines and mitigate their failure risk in advance through AI-driven alerts.
  • Leverage specialist knowledge by using codified rotating equipment expert insights to detect anomaly events in the process, equipment, and auxiliary systems, assess possible causes and recommend preventative measures.
  • Detect deviations from the baseline through AI alerts that indicate a potential fault in rotating equipment.
  • Deploy proven machine learning models tailored for rotating equipment with preconfigured algorithms, hyper-parameters, and thresholds to enable early detection and reduce false positives.
  • Understand rotating equipment health at enterprise scale, with a simple and extensible rotating equipment onboarding process, asset templates, documentation and monitoring tools.
  • Enable engineers to intervene before issues become uptime problems.
  • Improve turnaround efficiency and focus areas by using a data-driven approach that highlights deviations between target and actual behaviors to prioritize equipment and maintenance tasks.
  • Seamlessly embed insights on rotating equipment performance into BHC3 Reliability and exception based surveillance workflows.



Data Sheet

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