Vehicle Testing TRIZ Cases

Defective distributed data is detected centrally, then vehicle groups apply tailored function restrictions to protect ECUs and maintain system safety.

Tachometer-generated test signals check landing gear brake cross-connections without raising wheels or using drills, reducing test effort.

By identifying vehicle type from registration data and in-vehicle wireless VIN signals, inspectors see only the required checks and avoid omissions.

Current and rotor rotation signals replace fragile accelerometers to detect EV motor bearing faults with lower cost and reliable real-time monitoring.

Photorealistic weather and traffic overlays let autonomous vehicles test rare driving conditions using real camera scenes fed to onboard controllers.

A controlled multi-lane test road with a reference vehicle improves lane change test realism, safety, and result reliability.

Modular test chambers and infrastructure containers cut setup time and isolate fire or explosion damage in vehicle component testing.

Electrical impedance testing identifies mixed brake pad friction materials online, enabling reliable rejection despite dust and similar colors.

Trajectory similarity filtering identifies road users that can alter vehicle motion, cutting ADAS target-selection compute while staying adaptable.

Classified vehicle monitoring eigenvectors enable parallel SVM fault diagnosis in the cloud, improving accuracy and cutting diagnosis time.

AC current sensing links motor torque to bearing wear, enabling earlier vehicle bearing warnings than conventional monitoring.

Pre-start proximity checks verify each collision avoidance detection subsystem and operator ID before engine start in mining vehicles.

Defines non-ego vehicle actions relative to ego vehicles at discrete time points to improve collision, rotation, and timing accuracy in simulation.

Baseline vibration data under matched travel conditions helps detect early rotating machine peeling before damage and costly maintenance.

Sensor data links risk sources with crashes and near-crashes to normalize vehicle safety performance across different driving conditions.

Compares vehicle observation data with normal and fault patterns to predict fault signs accurately without specialized sensors or excess false alarms.

Adjustable hook-shaped coupling elements fasten an actuator to different vehicle pedal geometries with simpler assembly and secure form-fit attachment.

Tachometer-generated signals trigger and monitor brake commands to detect landing gear cross-connections without wheel spinning or gear lifting.

A shared intermediate circuit lets the roller test stand drive rollers and charge or discharge the EV battery with galvanic isolation.

Synchronized radial arms with springs and traction elements simplify wheel target mounting and reduce misattachment in alignment measurement.

Virtual lane markers on a transparent screen let camera-based AV systems be tested in repeatable lab scenarios with more realistic braking and efficiency data.

Dynamic pressure volume balance detects air and leakage in a hydraulic brake system without a diagnostic valve, cutting cost and complexity.

Trajectory deviation is corrected by remapping perceptual coordinates in simulation, improving autonomous driving test accuracy and stability.

By flushing heater-warmed coolant past the sensor and checking the temperature gradient, this case avoids false cold-start sensor faults.

Conductive paths embedded in the plug housing detect cracks through electrical changes, allowing the control unit to stop unsafe charging.

A non-contact time-of-flight sensor measures tread surface and groove base distances to estimate tire wear accurately without embedded tread sensors.

Vehicle profile and passage-position sensing pinpoint cab feature points to switch X-ray source modes accurately, improving safety with fewer sensors.

Real and virtual sensor outputs are synchronized with GNSS/INS vehicle data to verify simulation accuracy for autonomous driving algorithms.