Machine Part Testing TRIZ Cases

A bearing maintenance method calculates dimensionless vibration parameters to predict damage timing.

Automated monitoring system evaluates vibration spectra against learned power density models to detect anomalies in rotating machinery.

A residual life determination system acquires load measurement information and physical property value measurements to estimate component degradation.

Friction retention and securement structures enable customers to test ratchet functionality at point of sale without breaking the packaging seal.

A resin part deterioration detection method uses an accelerated proxy member to monitor degradation progress via surface resistance changes.

Analyzing drive load and speed deviations detects individual worn links, preventing accidents from undetected localized wear.

A stress estimation method uses sound pressure detection at a remote position to calculate mechanical stress on rotating components.

Analyze intermediate shaft rattle using controlled torque application and acceleration measurement data.

Singular value decomposition processes multi-sensor variance-covariance matrices to identify anomalous parts via diagonal elements.

An inspection apparatus strikes an object to generate vibrations and analyzes the resulting frequency characteristics for state determination.

Peak interpolation and widening suppress spurious spectral peaks, resolving the trade-off between measurement precision and computational complexity.

A monitoring device calculates cabin displacement from multi-point temperatures to adjust rotating machine clearance.

A malfunction diagnosis device compares upstream and downstream fuel pressure values to identify component errors without disassembly.

Smart glasses process vibration sensor data directly, eliminating handheld devices and enabling continuous ergonomic monitoring.

A test bench uses two independently rotating supports to simulate centrifugal forces on rotor dampers.

A reductive-redundant data processing method analyzes vibration signals to assess rotating machine technical condition without external models.

A receptacle device with a rotatable inner unit holds a drive axle on a test bench to simulate realistic load distribution.

Cepstrum analysis extracts frequency modulation from acceleration spectra, isolating minor rubbing signals from piston noise interference.

Segmenting vibration analysis by specific speed ranges allows the system to distinguish bearing faults from main shaft issues, reducing misdiagnosis risks.

Embedding sensors inside planet gear pins overcomes the low accuracy of external health monitoring systems by directly measuring pin strain and vibration.

Frequency domain analysis of bearing vibration data identifies wear levels, preventing unexpected shutdowns in hydrocarbon production.

Scanning worm gear profiles with electronic sensors filters surface data to reject non-compliant parts, eliminating lengthy post-assembly testing delays.

A diagnostic system calculates gear assembly characteristics by analyzing electrical current flow through a driven motor during actuation cycles.

A transverse load stepless amplitude modulation device applies continuous forces to flange bolt sets via servo-driven mechanisms.

Acoustic emission sensors monitor friction states in a plain bearing, triggering controlled mixed friction to smooth rough spots and extend service life.

Segmented test stands evaluate pretensioner performance without monolithic complexity, enabling precise measurement of belt tension and load distribution.

A transmission adapter integrates a speed sensor receiver and coupler to connect drivetrain components without modifying housings.

Replacing rectangular fixtures with a spherical design raises natural frequencies to eliminate interference during turbine blade modal testing.

Destructive pull test measures elasticity parameters of composite sucker rods to verify structural integrity for reuse.

A signal processing method converts sensor data into frequency components using a sawtooth mother wavelet to cleanse incoming data streams.

Applying defined torque impulses to a belt drive pulley allows measurement of rotation angle changes, enabling accurate determination of current belt wear.

Adapts average degradation models to historical pressure data, generating future scenarios that capture long-term variability for accurate maintenance alerts.

A telescopic mechanism drives a touch control component to tap a screen while an acquisition unit records actual detection coordinates.

A method generates structural vibration animations by filtering sensor data within selected frequency bands and mapping locations to a computer model.

An adapter structure interfaces existing foundations with new compressor and gas turbine units, eliminating downtime from foundation replacement.

A pivoting test stand with a heated traversing table replicates strand temperature and movement to measure cooling effects without high-temperature hazards.

A neural network predicts vibrational transfer contributions from operational input signals, eliminating time-consuming excitation testing.

Calculates a proof load to fracture additive manufactured parts containing internal flaws during compliance testing.

Analyzes aircraft mechanism indicator variations to detect defects early, enabling preventative maintenance during downtime and reducing unnecessary grounding.

A diagnostic device analyzes generator rotational speed fluctuations to detect mechanical damage in wind turbine components.

An automated inspection apparatus uses 3D scanning and simulation to determine serviceability, reducing manual disassembly downtime.

Segmented field coils measure magnetic flux density across endless belt width, resolving insufficient local resolution in conventional measurement apparatuses.

A crank-rocker mechanism generates rotational non-uniformity to drive gear transmission for belt testing.

A monitoring system accumulates vibration sensing data from motion guiding devices to enable remote state assessment without physical device relocation.

A hybrid Bayesian framework fuses vibration data with operating conditions to predict remaining useful life under varying fault dynamics.

Automated vibration analysis replaces manual inspection to detect damper wear, reducing premature replacement costs and noise emissions.

Active learning selects informative input data points to train system models on test stands.

A vibration measurement device uses an elastic support portion with a variable spring constant to elastically hold the rotating machine.

Parallel tracks enable simultaneous container inspection, boosting productivity while minimizing space requirements.