New UP! Detect monitoring solution provides early alerts for reciprocating compressors

PROGNOST Systems and Burckhardt Compression announce the launch of UP! Detect, for early failure detection in compressors through advanced vibration monitoring. The solution offers cloud-based analysis to provide early warning of failures. This enables maintenance teams to plan ahead and take appropriate action before any problem develops.

UP! Detect is for reciprocating compressors of all brands and manufacturers

The easy-to-install condition monitoring system offers cost-effective early failure detection for reciprocating compressors of all brands and all manufacturers.

We have developed a suite of digital solutions that help maintenance operatives in the field, offering faster support and enabling them to maximize uptime and minimize costs. Analyzing data from equipment across the global fleet of compressors allows practical solutions to be implemented during planned outages, maintaining asset availability, and optimizing productivity.

The new UP! Detect solution uses advanced AI algorithms to detect anomalies in the data that warn maintenance personnel on-site of potential issues in the compressor’s components. Beyond alerting, it also offers actionable suggestions and recommendations, backed by our technical expert team, available 24/7 to provide support and guidance.

UP! Detect uses advanced AI algorithms and is cybersecure

UP! Detect identifies issues from the rod connector to the piston, including the cylinder, utilizing vibration sensors on the cylinder and crosshead, along with a trigger sensor for speed reference.

Since digital security is of paramount importance, PROGNOST Systems works in accordance with the highest cybersecurity standards IEC 62443-4-1 (certification of IEC 62443-4-2 ongoing), ensuring secure data transmission and storage.

As part of the portfolio of digital solutions, UP! Detect lays the foundations for long-term availability that comes from an in-depth understanding of an asset’s operating characteristics. Combining this knowledge with advanced algorithms and access to additional engineering expertise enables operators to achieve next-level performance and efficiency while minimizing operating costs.