Machine Part Testing TRIZ Cases

Classifying control signal evolutions via neural networks enables early malfunction detection without adding hardware complexity.

A rack and pinion drive condition assessment method traverses the linear axis at constant speed to acquire synchronized position signals.

Electronic sensors detect carbide insert wear and transmit signals to a controller, preventing premature replacement caused by unreliable visual inspections.

A support system with adjustable torsional springs provides rotational restraints for arch structure testing.

Processor calculates optimum frequency and resolution settings to distinguish spectral peaks while minimizing data acquisition time.

Replacing diesel engines with an electric motor and variable frequency drive reduces noise, vibration, and maintenance costs in hydraulic fracturing operations.

A resonance enhanced piezoelectric sensor system amplifies transient signals using programmable gain circuits.

A flaw detection testing device maintains a predetermined clearance between an eddy current sensor and a clinched portion using a fixing mechanism.

A rotor diagnostic system detects aperiodic vibrations using synchronized sensors and displays defect positions for targeted maintenance.

A bayonet axial connection device links shaft and test piece adapters via interlocking elements for rapid rotational coupling.

Monitoring exhaust temperature rates detects valve deactivation failures, preventing fuel economy loss and maintaining thermal control.

A detection tool uses a photosensitive plate to form circular patterns from light passing through holes, calculating centers for coaxiality.

Computing orthonormal matrices captures fluctuation patterns while filtering nuisance noise variables, providing robust change detection scores.

A computational model maps load factors to stress outputs for machine components.

External vibration sensors analyze mechanical signatures to monitor anode rotation, preventing damage from high starting torque in liquid metal bearing systems.

A pump calculates flow volume using rotation speed and pressure data to model internal leakage effects.

A rotary actuator rotates a steering shaft with constant acceleration to measure output torque using a transducer.

A rotating machine abnormality detection device segments frequency spectra to isolate vibration features from noise interference.

Airborne acoustic sensors detect fatigue failures in power transmission couplings using high-frequency sound wave analysis.

A linear adaptive filter enhances rolling bearing fault detection by increasing statistical asymmetry in vibration signals.

A detection unit monitors bearing vibration frequency while an identification unit compares signals against stored reference data to determine the installed bearing type.

A drive hub uses spring-urged ball plungers to engage sun gear splines for torque transmission.

Aligning the detection unit axis with the rotating component eliminates asymmetric radial vibrations that distort fault identification signals.

Operation controller commands master shaft to move slave shaft while brakes release, enabling abnormality detection via operation amount comparison.

Placing a sensor in the coupling housing attenuates strong ball screw vibrations, allowing accurate detection of linear guide unit faults with one device.

A control algorithm regulates active damping in hybrid powertrains by monitoring torque commands and adjusting multipliers to stabilize the drivetrain.

A remote computing device controls a central processor to operate automotive embedded devices and simulation tools over a network.

A gear defect detection device calculates signal ratios from sensor pulses to identify gear defects.

A portable apparatus accelerates a vehicle wheel to measure its vibration time-profile for detecting bearing wear.

A fault diagnosis model uses stacked restricted Boltzmann machines to process vibration signal features automatically.