Plug Gauges TRIZ Cases

AED system compares online measurements to statistical models for early abnormal condition detection.

Single detection pillar assesses wheel bolt hole thickness and position tolerance, reducing labor intensity compared to separate tools.

Electronic sensors replace manual visual reading to eliminate human error, improving measurement precision by over an order of magnitude.

Classifying asset degradation paths against exemplar templates estimates remaining useful life without relying on vague failure thresholds.

Sensors detect photoluminescence from quantum dots to identify corrosion, resolving the trade-off between inspection accuracy and disassembly time.

Elongated tapered gauge measures roller chain wear by inserting into link gaps to determine specific elongation levels.

Semi-empirical model predicts unplanned outage risk using historical failure data and real-time wear monitoring.

A well wall abrasion detector uses resistance strain displacement sensors to measure horizontal and vertical deformation of solid filling feeding wells.

A comprehensive thread checking fixture integrates a jackscrew, measuring column, and no-go end to detect thread parameters.

A method evaluates collapse loads in cylindrical structures by comparing single-flaw and penetration-flaw calculations.

An inferential model estimates quality values using process data.

A thread testing device uses a pivotable guide and compensation mechanism to align the housing and bearing axes for accurate screw-in depth measurement.

A thread gauge with a phase-positioning portion aligns the start point to the rotating shaft.

A magnetic recognition system detects correct positioning of removable comparators using field interaction.

A gauge apparatus with outwardly biased arms and deformable regions transfers mechanical strain to an attached optical fiber.

A pipeline corrosion estimation method uses confidence metrics to select matched features from inspection data.

Embedded RFID sensors track wear through breaking circuits, reducing downtime from unexpected failures.

Remote magnetic tomography identifies stress-related defects in inaccessible pipelines, enabling real-time monitoring and precise maintenance scheduling.

A thread inspection tool uses a movable probe and reference member to determine pullout starting location.

Predicts sulfur oxide storage using exhaust parameters to improve desulfurization efficiency.

Decomposing response signals into individual modes assigns a change index that reduces false indications caused by environmental variations.

Reference teeth anchor the instrument structure, resolving instability from undefined contact criteria while maintaining simple operation.

Controller fuses time of arrival signals from segmented sensors to predict crack propagation and prevent sudden failure.

A vehicle dynamic measurement device uses a raster projector to illuminate rail surfaces with multiple light planes for high-speed cross-section acquisition.

A microstructure-based failure model simulates individual grain behavior to predict component time to failure.

A right-angle touch gauge measures height differences using a floating column and measuring sleeve.

Integrating onboard processing into the pin eliminates external wiring complexity while enabling continuous fatigue load monitoring.

Full-coverage tracks and a self-cleaning pulley system resolve debris jamming while a curved capstan prevents tether tangling.

A tapered projection with a size indicator measures distances between adjacent anatomical structures.

A test system generates electric model parameters from sensor data to determine plasma processing chamber readiness without initiating plasma.

Physics-based prognostics analyzes thermal-mechanical loads to predict turbine component life, replacing empirical models that ignore actual usage variability.

A mechanical inspection tool with limiting pins and a spring-loaded disc measures bolt hole dimensions.

A monitoring system detects scheduled event non-occurrences and generates targeted alert notifications to designated recipients.

Segmented wind turbine peer-clusters enable targeted component failure prediction using localized environmental data.

A screw gauge incorporates a transmission suppression section between the input and gauge components to manage axial loads.

A computer system predicts remaining useful life by collecting degradation and stress parameters from monitored components.

Conductive spiral sensor detects lightning strikes on aircraft composite surfaces via resonant response changes.

Sensors measure acoustic vibrations from combustor cans and analyze dominant tone frequency changes over time intervals to detect hardware damage early.

A detection system fits statistical models to measured field current and voltage data to estimate circuit impedance and noise parameters for early flashover prediction.

Segmented shaft design absorbs transverse stresses and eliminates jamming, ensuring accurate dimensional measurements without seizure risks.

A rolling resistance measurement system calculates drive axle torque and drivetrain efficiency loss to determine machine resistance values.

Differential sensors measure seal oil parameters to identify leakage sources early, preventing delayed diagnosis of high hydrogen consumption issues.

A unified system integrates dispersed linear asset data into a centralized datastore with analysis functions.

Detecting maximum electric power amplitude during heater wire temperature rise enables precise life estimation before disconnection occurs.

A computer program extracts device data descriptions from electronic data sheets to create a unified programmer reference for industrial controllers.

A blade monitoring system calculates interpolated threshold crossings from digital waveform samples to detect compressor blade damage.

A tire abrasion prediction method calculates sliding amounts using dynamic element parameters to determine characteristic curves.

An integrated structural health monitoring system uses energy harvesting to recharge a battery, enabling continuous operation without external power sources.

Automated optical detection replaces manual measurement to eliminate human error and reduce labor costs in automotive manufacturing.