Advanced

Predictive Maintenance
for Engine & Turbine Systems

Advanced

Predictive Maintenance
for Engine & Turbine Systems

Problems

Engine & Turbine
Maintenance Challenges

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.

Problems

Engine & Turbine Maintenance Challenges

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.

Common Engine & Turbine System
Failures and Root Causes

Such failures in engine and turbine systems reduce operational reliability, increase
maintenance costs, and pose critical risks to flight safety and equipment integrity.

Bearing System Failures

• Inner/outer race wear
• Ball or roller damage
• Cocked bearings
• Axial/radial clearance loss
• Lubrication degradation

Gearbox & Transmission Issues

• Tooth wear or breakage
• Surface pitting and spalling
• Excessive backlash
• Gear misalignment
• Overload from torque fluctuation

Rotor & Shaft-Related Problems

• Rotor imbalance
• Torsional vibration
• Shaft bending or cracks
• Loose rotor mounting
• Eccentric rotation under load

Common Engine & Turbine System
Failures and Root Causes

Such failures in engine and turbine systems reduce operational reliability, increase maintenance costs, and pose critical risks to flight safety and equipment integrity.

Bearing System Failures

• Inner/outer race wear
• Ball or roller damage
• Cocked bearings
• Axial/radial clearance loss
• Lubrication degradation

Gearbox & Transmission Issues

• Tooth wear or breakage
• Surface pitting and spalling
• Excessive backlash
• Gear misalignment
• Overload from torque fluctuation

Rotor & Shaft-Related Problems

• Rotor imbalance
• Torsional vibration
• Shaft bending or cracks
• Loose rotor mounting
• Eccentric rotation under load

Sensor & Signal Anomalies

• Tachometer signal loss
• Sensor drift or failure
• Noise interference
• Faulty cabling or loose phasing

Thermal & Structural Failures

• Thermal rotor blow
• Stator winding loosening
• Cracks due to thermal cycling
• Heat-induced misalignment

Solutions

DS-AP: Advancing Engine & Turbine Reliability with AI

Minimize Failures. Extend Lifespan. Ensure 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.

Solutions

DS-AP: Advancing Engine & Turbine Reliability with AI

Minimize Failures. Extend Lifespan. Ensure 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.

How it Works

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.​

How it Works

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.

DS-Track

DS-Track is an Edge AI-powered smart sensor that can be seamlessly integrated into aviation systems such as aircraft engines, turbine assemblies, rotors, and gearboxes. It continuously monitors key parameters like vibration, temperature, and dynamic stress, processing the data locally in real time. The data is transmitted—via wired or wireless connections—to the DS-Insight platform, but most anomalies are detected directly on the sensor itself, enabling early warnings and accurate alerts before critical failures occur.​

DS-Track

DS-Track is an Edge AI-powered smart sensor that can be seamlessly integrated into aviation systems such as aircraft engines, turbine assemblies, rotors, and gearboxes. It continuously monitors key parameters like vibration, temperature, and dynamic stress, processing the data locally in real time. The data is transmitted—via wired or wireless connections—to the DS-Insight platform, but most anomalies are detected directly on the sensor itself, enabling early warnings and accurate alerts before critical failures occur.

DS-Insight

DS-Insight is Delphisonic’s AI-powered platform for predictive maintenance, and the DS-AP module is specially developed for engine and turbine systems in aviation. It analyzes real-time vibration, temperature, and load data from critical components like rotors, bearings, gearboxes, and turbine stages—detecting early signs of failure before they compromise flight safety. Smart alarm filtering reduces false positives and ensures timely, actionable alerts. With its intuitive interface and cloud connectivity, DS-Insight with DS-AP helps aviation teams optimize maintenance planning, improve reliability, and minimize costly unscheduled downtime.​

DS-Insight

<span data-metadata=""><span data-buffer="">DS-Insight is Delphisonic’s AI-powered platform for predictive maintenance, and the DS-AP module is specially developed for engine and turbine systems in aviation. It analyzes real-time vibration, temperature, and load data from critical components like rotors, bearings, gearboxes, and turbine stages—detecting early signs of failure before they compromise flight safety. Smart alarm filtering reduces false positives and ensures timely, actionable alerts. With its intuitive interface and cloud connectivity, DS-Insight with DS-AP helps aviation teams optimize maintenance planning, improve reliability, and minimize costly unscheduled downtime.

Process

Step-by-Step Summary

DS-Track sensors are mounted on critical assets depending on industry-specific needs.

Data is analyzed locally in real time for early anomaly detection.

Machine learning identifies patterns, detects faults, and recommends maintenance actions.

Operators take targeted, fast action based on precise insights.

Continuous monitoring of vibration, temperature, and load data.

Data is sent to the central platform for deeper analysis and long-term tracking.

Only meaningful alerts are generated—minimizing unnecessary notifications.

Entire flow is tailored through DS modules for each industry

Process

Step-by-Step Summary

DS-Track sensors are mounted on critical assets depending on industry-specific needs.

Continuous monitoring of vibration, temperature, and load data.

Data is analyzed locally in real time for early anomaly detection.

Data is sent to the central platform for deeper analysis and long-term tracking.

Machine learning identifies patterns, detects faults, and recommends maintenance actions.

Only meaningful alerts are generated—minimizing unnecessary notifications.

Operators take targeted, fast action based on precise insights.

Entire flow is tailored through DS modules for each industry

Key Benefits for
Aviation Operations with Delphisonic

Key Benefits for
Aviation Operations with Delphisonic

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.

Discover Delphisonic’s solutions to optimize your maintenance
processes and reduce operational risks and costs.

Why Delphisonic?

Why Delphisonic?

Delphisonic’s Aviation
Expertise

Delphisonic’s Aviation
Expertise

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.

Let’s solve your aviation challenges together.

Let’s solve your aviation challenges
together.

Guide the future
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