Aircraft engines and turbine systems operate under extreme mechanical stress and thermal conditions, relying on high-speed, compact, and highly integrated components. Unplanned failures in these systems not only result in costly downtime and repairs, but also pose serious risks to flight safety, equipment longevity, and system reliability.
Aircraft engines and turbine systems operate under extreme mechanical stress and thermal conditions, relying on high-speed, compact, and highly integrated components. Unplanned failures in these systems not only result in costly downtime and repairs, but also pose serious risks to flight safety, equipment longevity, and system reliability.
• Inner/outer race wear
• Ball or roller damage
• Cocked bearings
• Axial/radial clearance loss
• Lubrication degradation
• Tooth wear or breakage
• Surface pitting and spalling
• Excessive backlash
• Gear misalignment
• Overload from torque fluctuation
• Rotor imbalance
• Torsional vibration
• Shaft bending or cracks
• Loose rotor mounting
• Eccentric rotation under load
• Inner/outer race wear
• Ball or roller damage
• Cocked bearings
• Axial/radial clearance loss
• Lubrication degradation
• Tooth wear or breakage
• Surface pitting and spalling
• Excessive backlash
• Gear misalignment
• Overload from torque fluctuation
• Rotor imbalance
• Torsional vibration
• Shaft bending or cracks
• Loose rotor mounting
• Eccentric rotation under load
• Tachometer signal loss
• Sensor drift or failure
• Noise interference
• Faulty cabling or loose phasing
• Thermal rotor blow
• Stator winding loosening
• Cracks due to thermal cycling
• Heat-induced misalignment
Traditional engine maintenance depends on fixed intervals and reactive fixes—often missing early-stage issues. In aviation, where reliability is critical, AI-powered predictive maintenance is vital. DS-AP integrates DS-Track, an Edge AI smart sensor, with the DS-Insight platform to monitor turbines, rotors, and gear assemblies in real time. By analyzing vibration and load data directly at the edge, it identifies early signs of faults like bearing wear or rotor imbalance—before they affect flight safety.
Traditional engine maintenance depends on fixed intervals and reactive fixes—often missing early-stage issues. In aviation, where reliability is critical, AI-powered predictive maintenance is vital. DS-AP integrates DS-Track, an Edge AI smart sensor, with the DS-Insight platform to monitor turbines, rotors, and gear assemblies in real time. By analyzing vibration and load data directly at the edge, it identifies early signs of faults like bearing wear or rotor imbalance—before they affect flight safety.
Delphisonic’s predictive maintenance system combines Edge AI-powered DS-Track sensors with the DS-Insight analytics platform to continuously monitor engine and turbine systems in real time. Data is processed directly on the sensor, enabling early fault detection before critical failures occur. This helps optimize maintenance planning, reduce unscheduled interventions, and enhance flight safety and system reliability.
Delphisonic’s predictive maintenance system combines Edge AI-powered DS-Track sensors with the DS-Insight analytics platform to continuously monitor engine and turbine systems in real time. Data is processed directly on the sensor, enabling early fault detection before critical failures occur. This helps optimize maintenance planning, reduce unscheduled interventions, and enhance flight safety and system reliability.
Up to 95% failure prevention through real-time monitoring of engines, propulsion shafts, gearboxes, and auxiliary systems — enabled by Edge AI anomaly detection to reduce costly downtime and emergency repairs.
Up to 30% maintenance cost savings by shifting from reactive to predictive maintenance strategies — reducing manual inspections, optimizing maintenance intervals, and extending component life.
Improved flight safety and system reliability, with early detection of issues like rotor imbalance, bearing wear, or torsional vibration — minimizing the risk of system faults during operation.
Increased availability and faster turnaround, thanks to real-time fault detection, remote diagnostics, and proactive maintenance planning — enabling smoother fleet operations.
At Delphisonic, we have been delivering predictive maintenance and industrial monitoring solutions since 2012 — with a strong focus on aircraft engines and turbine systems.
We combine AI-powered analytics with edge-based smart sensors to detect faults early, reduce maintenance costs, and enhance flight safety and engine reliability.
We don’t just monitor aerospace systems — we engineer them from within, with deep technical know-how and aviation-specific insight.
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