Unplanned downtime is one of the greatest risks to operational performance. Traditional maintenance approaches rely on schedules or reactive intervention — often too early or too late. Stingray.AI Condition-Based Monitoring (CBM) replaces uncertainty with real-time intelligence. By continuously capturing sensor data and applying AI-driven analytics, CBM predicts failure before it happens — enabling precise, timely intervention. CBM prevents unplanned downtime, reduces unnecessary maintenance costs, extends asset life through early intervention, improves safety in high-risk environments, and optimises maintenance resources and planning.
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Vibration Analysis
Detects imbalance, misalignment, and bearing wear at an early stage.
Thermal Monitoring
Identifies overheating in motors, pumps, and electrical systems.
Acoustic Intelligence
Recognises fault signatures embedded in sound patterns.
Turn maintenance into a competitive advantage through intelligence.
CBM prevents unplanned downtime, reduces maintenance costs, and extends asset life through early intervention.
