
A Decade of Change in Compressor Instrumentation and Monitoring
Key Takeaways
- Learn how the shift from time-based to condition-based maintenance has accelerated over the past decade.
- Discover how AI and machine learning are helping operators detect changes that manual monitoring alone would miss.
Wael Al Mandarawi, Omar Al-Essa, and Shady Saeed compare how compressor monitoring has transformed over the past decade, and where it's still catching up.
Sponsored by FS-Elliott
How much has really changed in operators' visibility into compressor health? Wael Al Mandarawi traces the shift from time-based maintenance toward condition-based monitoring, an acceleration he's seen build over the last ten to fifteen years as machine learning and AI-driven software help catch changes a human observer might miss, while cautioning that the move to full condition-based monitoring has to happen carefully on critical, high-hazard equipment.
Omar Al-Essa illustrates the shift with a personal example: a plant superintendent who once needed basic vibration monitoring explained years later that OEM-supplied dashboards now show him everything he needs to know. Shady Saeed adds the manufacturing side of the story, noting that tolerances and performance simulation available today go far beyond what was possible when many FS-Elliott units still in service were originally built in the 1970s, and that the resulting engineering databank helps modernize decades-old assets without replacing them outright.
Anyone managing an aging compressor fleet will find a clear picture here of how far condition monitoring has come, and how that progress is changing modernization decisions.
Related to this article








