Predictive Maintenance Case Study: Hydrogen Compressor Failure Prevention

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Predictive Maintenance Case Study: Hydrogen Compressor Failure Prevention

Case study showing how Aspen Mtell predicted hydrogen compressor failure 35 days ahead, enabling planned maintenance and avoiding $75M in losses.

Published

June 4, 2026

Read time

3 min read

Source

Diversified energy company deployed Aspen Mtell on a critical hydrogen compressor after three prior failures caused over $250M in losses. The solution generated seven anomaly and four failure agents that detected piston, valve, and lubricator issues with 24-38 days advance notice. Planned intervention reduced downtime by up to eight days and delivered 30 percent maintenance cost savings versus emergency repairs.

Key takeaways

Aspen Mtell detected compressor failure 35 days before occurrence across piston, valve, and lubricator modes

Planned maintenance achieved 30 percent cost reduction versus emergency repairs

Avoided up to eight days of unplanned downtime through scheduled shutdown windows

Combined production and maintenance savings potential exceeded $75M across three historical events

Rollout expanded to 300+ assets across 12 refineries and 6 pipelines following pilot success

Market overview

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