Tyre Measurements TRIZ Cases

Configurable alarm thresholds let vehicle wireless sensors send persistent alerts only during real violations, conserving battery life.

Pressure-sensor feedback switches the inflation valve to set commercial tire pressure safely without a pressure control valve.

Speed-normalized accelerometer signals and angular resampling isolate rolling tire deformation from noise and external forces.

Valve identification data lets the receiver set tire pressure and speed thresholds by valve type, improving vehicle control safety.

A pneumatically actuated piston seals wheel-hub pressure channels only during transfer, cutting rotary wear while maintaining reliable delivery.

State-based wake-up and transmission control lets non-original tire pressure sensors match OEM TPMS protocols while limiting power use.

A rotary adapter and transmitter keep air flowing into a rotating tire while maintaining sealing, pressure balance, and leak protection.

Pressure changes tracked against tyre speed reveal tread wear without embedded instrumentation, enabling continuous condition alerts.

Correcting tire pressure history after inflation changes helps TPMS distinguish slow punctures from normal adjustments and warn earlier.

Tangential acceleration peaks are processed inside the TPMS module to detect tire wear accurately while avoiding power-hungry central communication.

Continuous pressure sensing and automatic inflation let tires be filled while driving, with adaptive mounting and real-time cabin alarms.

A TPMS module processes radial acceleration gradients locally to detect tire wear accurately while cutting communication load and power use.

Online learning compensates acceleration gradient signals for pressure, footprint, and speed to improve tire wear assessment without factory calibration.

Tracks pressure trends with temperature correction and inflation-adjustment detection to identify slow tire punctures more accurately.

Wireless wheel hub sensing tracks temperature and pressure to warn of overheating early without time-consuming manual safety checks.

Combining sensor data, finite element strain maps, and crack-growth models enables tire health estimation and remaining useful life prediction.

Wheel-speed pressure indexes are corrected with outside air temperature to avoid missed tire underinflation detection across changing conditions.

A telematics ML classifier filters erroneous tire pressure readings before fleet transmission, improving TPMS data reliability and bandwidth use.

Low-frequency statistical sampling estimates tire contact patch length from deformation data, cutting sensor power and hardware complexity.

A compressible insert inside the tire sensor housing prevents movement, cracking, and vibration while keeping pressure and temperature readings stable.

Sensors detect turns and deflate air suspension bags to cut tire scrub, extending truck and trailer tire life without driver input.

Crown-mounted acceleration sensing with speed normalization and angular resampling isolates tire deformation to estimate static load under rolling noise.

Varying transverse ribs in circumferential grooves spread airflow noise across frequencies, reducing harsh tire noise peaks during driving.

Signal-strength patterns from stationary wheel units let the central processor detect wheel swaps while limiting TPMS battery drain.

Centrifugal and tangential acceleration phase lag identifies left and right TPMS wheels without low-frequency antennas, cutting setup cost and power use.

A cancelling antenna confines TPMS programming signals to a proximal zone, enabling reliable sensor communication while limiting interference.