Machine Part Testing TRIZ Cases

A housing that combines vibration and sound sensing captures high-frequency states despite rough mounting surfaces, improving diagnostic accuracy.

Synchronized stroboscope imaging pinpoints clogged or worn centrifuge nozzles, helping maintain separation efficiency and drum balance.

A self-locking worm-gear preload unit and hollow shaft enable precise closed-loop torque loading and torsion measurement with minimal power loss.

Wind noise filtering and blade-by-blade audio segmentation improve wind turbine fault diagnosis when blade sound changes are subtle.

Optical fiber sensing combined with motor current tracks blood pump vibrations and flow changes for earlier mechanical failure detection.

Roller test stand data compares target and actual CVT ratios and speeds to quickly detect slipping components and verify acceptable operation.

A vibration sensor plus an air-coupled sound sensor broadens frequency coverage and avoids surface roughness errors in mounted detection.

Motor-driven resonance measures automatic door belt tension remotely, reducing manual service visits, energy waste, and belt slip risk.

Sensor data is captured only during low motor current to avoid inverter interference and improve rotating component fault detection.

Controllable axial loading and partial oil filling let this gearbox drive test oil-tightness, bearing loads, and orientation effects with less leakage risk.

Image-based mesh modeling predicts rotational imbalance in unfinished workpieces, cutting physical testing time and correction effort.

A state observer estimates specimen speed and torque from measured bench dynamics, improving test bench control without extra sensors.

Dynamic tire diameter data lets the load controller match running resistance to speed and acceleration for more realistic vehicle testing.

Adaptive relief setpoint control and permanent magnet motors improve granulate conveying and drying efficiency while maintaining safe vacuum and pressure levels.

Regression-based sensor validation checks pump alarms against expected operating profiles to cut false alarms and avoid unnecessary downtime.

Frequency-based comparison across spectral sections detects unexpected deviations early, even in low-SNR bands, for wear and contamination assessment.

Minimum variance beam-forming extracts weak motor fault frequencies from noisy current signals under varying load and speed.

Natural-frequency features from motor current help detect control rod drive abnormalities even with imbalanced D/Q currents or non-resonant structures.

Absolute shaft acceleration and rotation-frequency modeling enable real-time bearing and gear fault detection under variable speeds.

Continuous comparison of baseline and live motion detects rising backlash and sensor contamination before machine failure interrupts production.

By segmenting equipment sound by operating phase and frequency band, this case pinpoints abnormal parts more accurately for faster maintenance.

Adjusting numerical aperture to gear geometry reduces shadowing in optical toothing measurement while preserving resolution and cutting measuring time.

Phase difference between AE and shaft vibration signals pinpoints circumferential rubbing in rotating machines with one AE sensor and lower noise sensitivity.

Structure-borne sound and spectral flatness isolate turbocharger wheel anomalies early without adding direct component sensors.

A zero mark and brake-unit zero-angle alignment cut manufacturing cost while keeping rotary screwdriver angle measurement within VDI/VDE 2647.

A flexure shaft and load cell measure gear axial reaction force to determine rotorcraft torque without slip rings or mast calibration.

Rubbing noise can mimic bearing damage in vibration data, so this case detects and removes noisy segments before diagnosis.

Component acoustic signals are combined into a reference sound profile, cutting data load and instrumentation for automated machine condition analysis.

One integrated test rig measures torque, error, hysteresis, and efficiency of a harmonic speed reducer without separate evaluation setups.

A block-type sensor pad combines magnetic, Doppler, acoustic, and thermal sensing to catch drone drive faults before flight and during landing.

A two-stage vibration spectrum search tracks shifted abnormal peaks to predict rolling bearing replacement timing more accurately.

Dual attention and hierarchical fault grading improve bearing diagnosis under noise and unbalanced data while separating fault position and size.

Frequency-band filtering and reconstruction errors set per-band thresholds, improving unsupervised vibration-based equipment anomaly detection.

External microphone arrays filter transient impact sounds and map wear hotspots on machinery surfaces with low localization error.

Periodic frequency injection and direct voltage-current measurement simplify inertia and damping coefficient testing for grid-forming converters.