Machine Part Testing TRIZ Cases

Optical sensors detect belt misalignment via contrast elements, preventing noise and premature wear from minor alignment errors.

Sorting vibration peaks into amplitude ranges establishes representative values that reduce noise interference and improve measurement reliability.

A non-contact sensor integrates with a functional testing platform to capture analytical data alongside mechanical operation.

A probe head with a viewing window enables direct visual observation of processes within hot gas systems.

A detection tool with a spring-loaded finger and handle applies torque to verify fluid line engagement status.

A bearing diagnostic system generates spectral data via a multi-taper estimator to classify test bearings using machine learning.

Sensors detect bearing deflections to estimate torque, avoiding structural modifications that increase manufacturing costs.

A non-rotating tube mounts sensors near the tail rotor to detect vibration and speed directly, resolving gearbox distance limits.

A fault detection model maps sensor data to a physical domain and applies feature attribution to quantify individual feature importance for interpretable results.

Integrating sensors into the belt structure eliminates complex wireless infrastructure while detecting stiffness, foreign body ingress, and misalignment.

Envelope analysis isolates low-energy defect components masked by high-energy machine vibrations to enable early fault detection.

A standalone test tank replicates aircraft fluid circuit conditions to verify pressurized tool compliance without immobilizing the assembly line.

A test device uses push-pull actuation to alternate liquid volume in rigid chambers for flexible separator evaluation.

A rotating table positions workpieces at circumferential stations for sequential inspection stages.

A controller monitors variable pitch fan speed using Hall effect sensors to detect belt slip and predict mechanical failure.

Transforming acoustic data into order spectra via Vold-Kalman filtering for neural network classification.

Three equidistant casing contacts constrain the circuit board, eliminating assembly instability and reducing component waste during production.

A thermal radiator and imaging camera mounted on a holder pressed against rotor blades ensure constant contact for spatially resolved defect detection.

Dimensional correlation models predict turbine blade airflow properties, eliminating repeated physical testing and reducing manufacturing duration.

A shaft torque controller design method segments the integrator to calculate a designated integral gain independently from the non-integrator unit.