UP! Detect - vibration monitoring for early failure detection
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 abnormal compressor behavior via advanced vibration analysis
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: Identify abnormal compressor behavior early and resolve issues quicker
- Lower maintenance costs: Extend mean time between overhauls (MTBO) and optimize your maintenance strategy
- Safe operations: Minimize potential damage and optimize efficiency
- Remote transparency: Compare compressor performance across your entire fleet
- Easy installation: Get up and running with minimal effort
Features
- Automated anomaly detection: Based on cylinder and crosshead vibration analysis
- Real-time data analytics: Continuous insights into critical component behavior, including a 36-segment analysis
- Instant action recommendations: Alerting operators on-site to identify potential issues in key components
- Cloud-based access: Any-time, any-where access to performance data and trends
- Data assessments: Regular data reviews as part of our service agreements
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Downloads
- UP! Detect flyer EN pdf 6.36MB
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