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Predictive insights keep LNG fleets moving

Predictive insights keep LNG fleets moving

August 11, 2026

At the heart of this success is PROGNOST®-NT, PROGNOST Systems’ advanced online condition monitoring platform. By continuously monitoring compressor health and detecting early signs of wear or anomalies, the system enables predictive maintenance planning before issues escalate into costly failures. Weekly data assessments provide continuous visibility into machine performance, allowing maintenance activities and spare parts logistics to be planned in advance.

Our partnership has enabled us to operate our LNG fleet with high reliability and full cost transparency. The combination of proactive monitoring, expert support and a dedicated point of contact ensures predictable maintenance, minimized downtime and continuous optimization giving us confidence in both day-to-day operations and long-term planning.

What our customer says

Customer challenges

  • Maximize compressor availability and efficiency
  • Reduce unplanned maintenance events
  • Minimize downtime during dry-dock periods
  • Create predictable maintenance budgets
  • Simplify fleet-wide service coordination and logistics 

The PROGNOST-NT solution

As part of the comprehensive fleet service program, Burckhardt Compression implemented PROGNOST®-NT, PROGNOST Systems' advanced online condition monitoring platform. 

PROGNOST®-NT continuously monitors critical compressor parameters and processes machine data without interruption. Its advanced predictive intelligence algorithms detect early signs of wear, anomalies, and developing faults, enabling maintenance teams to take action before failures occur. 

The system combines machine protection and condition monitoring in one integrated platform, providing continuous insight into machine health while supporting safe and reliable operation of critical rotating equipment. 

Through weekly expert assessments of PROGNOST®-NT data, the fleet operator gains ongoing visibility into compressor performance and receives actionable recommendations for maintenance planning. Potential issues are identified early, allowing spare parts and service activities to be scheduled well in advance. 


Customer benefits

  • Increase Uptime and Reduce Operational Risk: Identify potential failures before they occur, minimize unplanned downtime, and improve machine reliability with predictive condition monitoring and protection.
  • Drive Smarter Maintenance Decisions: Use real-time asset insights to optimize maintenance schedules, streamline spare parts management, and improve long-term fleet performance at lower operating costs.

Your contact

Alexander Gossweiler
Content Creator

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