Abstract: Systems and methods for detecting component anomalies for a vehicle using sensed vibrations. One example system includes a first sensor positioned at a first position on the vehicle and configured to sense vibrations of the vehicle and an electronic processor communicatively coupled to the first sensor. The electronic processor is configured to receive, from the first sensor, sensor information produced by a sensed vibration of the vehicle. The electronic processor is configured to determine, based on the sensor information, a vibration pattern. The electronic processor is configured to determine, based on the vibration pattern, whether a component anomaly exists. The electronic processor is configured to, in response to determining that a component anomaly exists, execute a mitigation action based on the component anomaly.

Abstract: Systems and methods for detecting wear in a braking system of a vehicle. The system includes a microphone and an electronic controller configured to receive an audio signal from the microphone, determine at least one sound characteristic of the audio signal, determine, based upon the at least one sound characteristic, a condition of a braking component of the braking system, generate a notification regarding the condition, and perform at least one selected from the group of sending the notification to a display for output to a user, storing the notification in a memory, and modifying operation of the vehicle.

Abstract: Systems and methods for detecting wear in a braking system of a vehicle. The system includes a microphone and an electronic controller configured to receive an audio signal from the microphone, determine at least one sound characteristic of the audio signal, determine, based upon the at least one sound characteristic, a condition of a braking component of the braking system, generate a notification regarding the condition, and perform at least one selected from the group of sending the notification to a display for output to a user, storing the notification in a memory, and modifying operation of the vehicle.

Abstract: A yaw-rate forecasting system for a vehicle. The system includes a yaw rate sensor and an electronic control unit. The yaw rate sensor is configured to detect a yaw rate of the vehicle and to generate a signal indicative of the detected yaw rate. The electronic control unit is coupled to the yaw rate sensor, and is configured to receive the signal indicative of the yaw rate of the vehicle from the yaw rate sensor, forecast a future yaw rate, determine a stability of the vehicle using the forecasted yaw rate, and to generate a signal to control actuation of a vehicle brake.

Abstract: A yaw-rate forecasting system for a vehicle. The system includes a yaw rate sensor and an electronic control unit. The yaw rate sensor is configured to detect a yaw rate of the vehicle and to generate a signal indicative of the detected yaw rate. The electronic control unit is coupled to the yaw rate sensor, and is configured to receive the signal indicative of the yaw rate of the vehicle from the yaw rate sensor, forecast a future yaw rate, determine a stability of the vehicle using the forecasted yaw rate, and to generate a signal to control actuation of a vehicle brake.

Abstract: An automated test system for testing electrical device I/O pad continuity includes a load board upon which the device under test (“DUT”) is mounted. The number of I/O pins on the DUT exceeds the number of direct testing channels available on the load board. The excess number of I/O pins are connected to boundary scan cells of one or more boundary scan devices. The boundary scan devices receive one or more test data input patterns and test control signals via connection points on the load board. The boundary scan devices, which are complaint with JTAG boundary scan testing standards, are utilized to indirectly test the electrical continuity from the I/O pads of the DUT to the external pins or solder balls of the DUT.