Tyre Measurements TRIZ Cases

Acoustic tyre signals are filtered with wheel speed references and time series analysis to detect abnormalities despite irregular, noisy measurements.

A new rolling-radius baseline after tire non-use phases corrects creep and aging drift, improving tread depth accuracy on vehicles.

A hardened wheel hub sealing surface lets CTIS seals engage directly, cutting parts, assembly complexity, and gas leaks.

Monitoring sensors and active frame adjustment help tracked vehicles spread load evenly, reducing soil compaction, wear, and traction loss.

Wheel-speed, acceleration, and steering signals are fused to correct rolling-characteristic errors and cut false TPMS alarms.

By analyzing axial crown motion over multiple tyre rotations, this case isolates a cleaner vibration mode for more accurate tyre status monitoring.

A sealed wheel hub air path with sensors and controllable valves automates tire inflation and deflation to cut wear and improve vehicle efficiency.

Vibroacoustic frequency-band analysis with machine learning estimates tire wear in real time while reducing computation cost and complexity.

Stored performance coefficients let tire monitoring systems estimate performance characteristics when parameter data is incomplete, reducing maintenance delay.

Alarm messages repeat until acknowledgment, then shift to longer intervals to preserve vehicle sensor battery life without losing critical alerts.

Passive BLE scanning and speed thresholds let a TPMS avoid needless transmissions in traffic jams, cutting power use and frequency overload.

Sequential verification lets an untrusted setup device load tire monitor data, then trigger cryptographic exchange for secure communication.

Vehicle sensor signals and normalized rolling radius are used to track tire wear in real time, enabling earlier detection of burst risk.

Temperature-based tire position detection cuts sensor transmission power and memory use by shifting evaluation to an external unit.

Opposite-wheel pressure comparison with noise filtering improves slow leak detection and cuts false TPMS alerts under changing conditions.

A conductive filament embedded across the tread breaks at a set wear depth, enabling precise uneven tire wear detection with a durable, simple sensor layout.

Acoustic footprint spectra from tire-mounted accelerometers replace slow FEA and manual tread checks with real-time wear estimation.

Motion signals and tyre operating conditions are compared with model-based reference values to calibrate crown-mounted sensors during driving.

Real-time footprint sensors trigger tire inflation or deflation to balance traction, handling, wear, fuel efficiency, and safety.

Tangential acceleration extrema and wheel rotation time are compared to identify each wheel position quickly and with low sensor energy use.

Axial motion checks let TPMS sensors skip unnecessary repositioning after engine restart, cutting power use and avoiding positioning errors.

By tracking tire footprint centerline length instead of absolute pressure alone, this case improves inflation control under changing load and wear.

Detailed tire pressure alerts add severity levels and mounted position data, helping drivers judge whether operation can continue.

Pressure-temperature ratio baselines help detect tire pressure drops accurately even when sensor position causes inconsistent temperature readings.

Historical TPMS trend analysis detects slow tire leaks before threshold alarms, accounting for temperature effects and reducing repeat warnings.

Multiple spaced seals and vented chambers contain pressurized air at a rotating interface, limiting leakage into lubricant chambers.

A low-frequency wake receiver lets the tire monitor sleep until needed, cutting BLE scan power while keeping connection response fast.

Captures stationary-to-stationary driving cycles and steering-related maneuvers to calculate tire wear values closer to actual abrasion.

Time-stamped tire sensor readings are filtered with historical averaging, median, and Butterworth methods to catch anomalies and stabilize data.

Bluetooth replaces coil-heavy LF links in tire pressure detectors, enabling bidirectional firmware updates with lower cost and less interference.

A wireless switch valve lets the controller open and close the tire air chamber automatically, removing manual inflation and deflation steps.

Accelerometric peak timing enables near-instant tire circumference and tread wear measurement without wheel speed sensors or long-distance counting.

Two body-mounted accelerometers filter road-induced tilt to detect tire pressure loss without wheel sensors or battery-powered TPMS units.

Radial acceleration, footprint length, and adaptive analysis detect tire-mounted sensor detachment reliably across speed and road changes.

RF simulation and OBD feedback identify the actual TPMS protocol, avoiding input errors and enabling accurate menu interface positioning.

Grouping tire radius data by pressure, load, and speed reduces wear-estimation error and improves remaining useful life prediction.

Routing a fluid conduit through the steer-axle spindle creates direct rotary union air supply while reducing sealing complexity and leakage risk.

Temperature-compensated pressure modeling and cross-tire comparison help detect slow vehicle tire leaks earlier despite thermal variation.

Wheel-mounted energy harvesting powers vehicle sensors from rotation and vibration, extending battery life while sustaining driving condition detection.

TPMS wheel spin data is compared with odometer distance to detect blocked sensor signals, flag tampering, and preserve mileage accuracy.