Double runtime, half the failures – powered by digital monitoring and expert support
In an industrial gas plant, a critical hydrogen compressor repeatedly caused unplanned outages - while the root causes remained unclear and operational uncertainty was high.
By leveraging PROGNOST Systems’ service package, including temporary condition monitoring with PROGNOST®-NT, the customer gained full real-time transparency into the machine’s condition for the first time. Combined with in-depth analysis from PROGNOST experts, faults were detected early, root causes precisely identified, and targeted corrective actions implemented.
The result:
Operating time, the Mean Time Between Failures (MTBF), more than doubled - from less than 8.000 to over 16.000 hours - far exceeding expectations.
Encouraged by this success, the customer decided to permanently install the online condition monitoring system in another plant - supported by continuous expert analysis and an integrated SIL 3 emergency shutdown function for maximum safety.
Customer benefits:
- Maximum system availability through early fault detection
- Doubled MTBF (>16.000 hours) and significantly improved reliability
- Lower operating costs through predictive, condition-based maintenance
- Full transparency of compressor condition - anytime, anywhere
- Faster, data-driven decision-making backed by OEM expertise
- Enhanced safety with integrated SIL 3 emergency shutdown
- Future-proof maintenance with scalable monitoring and long-term service
After this project’s success, the customer chose to install a permanent PROGNOST‑NT system at their sister plant - strengthening predictive maintenance with Burckhardt Compression’s and PROGNOST’s data insights and expertise.
Key message:
With machine protection and condition monitoring from PROGNOST Systems, reactive maintenance becomes a data-driven, predictive strategy - delivering greater availability, safety, and cost efficiency.
- PROGNOST-NT - online condition monitoring
- Success Stories
- PROGNOST Swift - temporary condition monitoring
