UP! Detect - move from reactive to predictive maintenance
AI Summary
The advanced vibration analysis solution for compressors uses AI-driven anomaly detection algorithms to identify abnormal behaviour early. This enables smoother operations, reduces downtime, and lowers maintenance costs by extending the mean time between overhauls (MTBO). Key benefits include maximised availability, safer operations, remote monitoring across fleets, and easy installation. Features include automated anomaly detection based on cylinder and crosshead vibrations, real-time data analytics with detailed segment analysis, instant alerts for operators, cloud-based access to monitoring data, and regular data assessments as part of service agreements. The solution aims to optimise maintenance strategies and improve compressor efficiency through continuous monitoring and early failure identification.
Identify developing issues early and get automated action recommendations
Unlock the full potential of your compressor with our cutting-edge anomaly detection algorithms. Early identification of potential issues in the compressor's key components ensures smooth operations and minimizes downtime.
Your benefits
- Maximum availability: Detect up to 90% of compressor operation anomalies and resolve issues quicker
- Lower maintenance costs: Extend mean time between overhauls by moving from a reactive to a predictive maintenance strategy
- Safe operations: Fewer surprises and minimized potential damages
- Optimized maintenance: Smoother and more predictable workflows
Features
- Failure-based alarms: Automated action recommendations on component level
- Automated anomaly detection: A neural network (AI/CNN) learns the compressor behavior and detects deviations
- User-friendly condition monitoring: Intuitive interface for easy decision-making
- Cloud-based access: Access to performance data and trends
- Data assessments: Regular data reviews as part of our service agreements
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Downloads
- serv-up-detect-flyer-260801-en.pdf EN pdf 2.87MB
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