Gas-Turbine Engine Testing TRIZ Cases

A slim integrated connector lets pull cables route sensor lead wires through tight engine passages with less snagging and damage.

Internal cooling air channels cool the capacitance probe center conductor, enabling hotter gas turbine clearance sensing with less debris buildup.

Cooling air channels through the probe housing and center conductor limit heat and debris buildup, preserving capacitance sensing in gas turbines.

Granular packing inside a protective conduit limits fibre side motion while allowing thermal expansion, reducing interference signal bias.

Startup current-response detection identifies the installed aircraft FMU and adapts control currents to prevent damage and maintain protection.

Wide band gap sensor nodes route shielded electromagnetic power and data through machine components for reliable operation above 200 C.

Distributed axial sensors track temperature and oxygen changes in a gas oxygen reduction unit to detect fouling and prevent fuel coking.

Response current analysis identifies aircraft fuel metering unit hardware during startup, avoiding manual software changes and mismatched control currents.

Flight-by-flight damage and FOD risk modeling triggers engine inspections only when cumulative failure risk exceeds a threshold.

Sensor-driven digital twin modeling predicts compressor blade pit growth and fatigue debit from environmental exposure to guide maintenance.

A wedged ferrule coupler aligns optical fibers and seals cooling fluid passages to improve light transmission and thermal management.

A side-channel sensor extracts timing from EHM cabling to align permanent and temporary engine monitoring data for accurate diagnostics.

A side channel sensor captures timing from a permanent EHM cable so temporary kit data can be aligned for reliable engine fault analysis.

A single axial actuator drives wedges and balls to clamp multiple components at once, cutting inspection fixturing time and cost.

Machine learning compares multi-location scan data with training data to accept functionally tolerant parts and reduce false rejects.

K-fold machine learning assessment speeds component acceptance by identifying functionally tolerant parts beyond nominal geometric limits.

A repositionable simulation mass replicates multiple rotary components, cutting attachment steps while preserving balancing accuracy.

A nested torque and reference tube stage measures twist inside the gearbox, shortening engine length and freeing output shaft space for a clutch.

A twist-measuring torque tube inside the speed ratio stage cuts engine length and bearing span while keeping the output shaft free for a clutch.

A dual-branch check combines physical testing and machine learning to identify functionally tolerant components and reduce false rejects.

Machine learning compares multi-location component data with training and test results to accept functionally tolerant parts faster.

K-fold machine learning compares multi-location part data with training folds to identify functionally tolerant components and cut false rejects.

Optical pit measurements and operating history refine corrosion remediation timing to predict equipment life more accurately and avoid failures.

Flight-by-flight usage data estimates cumulative engine damage and signals inspection only when failure risk exceeds an acceptable threshold.

Thermal gradient monitoring during engine cooling detects gas turbine damage on-wing, avoiding disassembly and reducing inspection time.

Temperature and vibration sensing feed adaptive machine learning control to predict turbomachine degradation and adjust settings before failures.

Temperature and vibration feedback let adaptive controls track turbomachine degradation, update maps and gains, and reduce unexpected failures.

Integrated sensors on an engine stand capture shock and environmental data, enabling alerts and inspection after adverse transport conditions.

Thermal neuromorphic sensing flags engine anomalies and triggers other sensors only when needed, cutting onboard data load and storage.

Thermal neuromorphic sensing flags engine anomalies and triggers other sensors only when needed, cutting onboard data load and storage.

Neuromorphic sensors flag material failure events in aircraft engines and trigger synchronous sensing only when needed, cutting data load.

Adjustable supports and selective rigid fixation keep a borescope robot aligned with an aircraft engine despite vibration and movement.

Combining limit-value abnormality degrees with Mahalanobis distance enables earlier plant abnormality detection and reduces operator workload.

Axial wedge actuation drives balls outward to clamp multiple components at once, cutting fixturing complexity and inspection time.

Counterweights zero blade-cluster mass offset and equalize inertia, stabilizing partially bladed rotor tests when new blades are limited.

Coordinated terrestrial drones inspect gas turbine engines in place, cutting downtime while improving coverage and abnormality detection.

Intercepted sensor signals are ranked by fault severity so controllers can apply the right accommodation and avoid damaging engine operation.

Reduced order vibration modeling predicts how blade blending changes IBR dynamics, enabling safer repair limits and automated maintenance decisions.

Teams of terrestrial drones inspect gas turbine engines along adaptive paths, cutting manual intervention, downtime, and missed abnormalities.

Monitored speed, acceleration, and threshold comparison identify engine rotor rubbing early to prevent damage and reduce maintenance costs.

Future air temperature and load forecasts are used to estimate gas turbine state quantities and improve part life consumption prediction.

A flexible actuated nozzle reaches internal turbine damage to dispense maintenance fluid, avoiding engine disassembly and cutting downtime.

Measured wear patterns and simulated engine behavior are correlated to suggest repairs that reduce scrap and manual review of gas turbine parts.

A guiding sleeve with spring-loaded twist-lock engagement helps remove and install borescope plugs in hard-to-reach engine ports without drops.

A ceramic housing-core probe uses the sensing electrode as a braze joint to cut thermal stress, internal capacitance, and manufacturing complexity.

High-rate sensor sampling and masking suppress transient turbine signal errors before they trigger unnecessary control actions.

High-rate sensor analysis detects transient signal errors and masks short-term spikes before they trigger unnecessary turbine control actions.

5G edge-cloud processing and a 1D-CNN speed aero-engine fault recognition while cutting transmission delay and data costs.

Mobile vehicles reposition acoustic sensors to vary array aperture and spatial resolution for precise noise-source testing in changing scenarios.

By shifting rotor disk center of gravity to match blade deformation, this case keeps leading and trailing edge tip clearance consistent.

Mode switching updates reference data when deviation rises, helping plant monitoring separate normal state changes from true abnormalities.

Injected curable composition forms beads over airfoil cooling holes, then radiation and heat cure clean seals with less residual material.

Predictive wear and variation models turn as-run gas turbine measurements into repair formulas, reducing scrap and manual review.

Real-time engine condition and ambient correction refine torque limit factors, reducing premature maintenance on gas turbine engines.

Conventional subscale tests can miss full-scale acoustic behavior; a telescoping piston varies chamber volume to screen injector stability.