Abstract: Disclosed are a wheel actuating motor abnormality detection device and method and a non-transitory computer-readable storage medium in which a program for performing the method is stored.

Abstract: According to an embodiment of the present disclosure, a device and a method for diagnosing faults in an electronic brake system based on a deep learning model, which may be provided, which collect and preprocess vehicle state data including sensor data and actuator state data through an in-vehicle communication network, input the preprocessed vehicle state data into a deep learning anomaly detection model to determine a normal state or a fault state of the electronic brake system, input the preprocessed vehicle state data into a deep learning detailed fault diagnosis model to determine a fault type and fault severity of the electronic brake system, if the electronic brake system is determined to be in the fault state, and independently control the electronic brake system based on the fault type and fault severity.

Abstract: Disclosed are a wheel actuating motor abnormality detection device and method and a non-transitory computer-readable storage medium in which a program for performing the method is stored.

Abstract: Disclosed are a steering motor abnormality detection device and method and a non-transitory computer-readable storage medium in which a program for performing the method is stored. The steering motor abnormality detection device includes a memory in which one or more instructions are stored and a processor configured to execute the one or more instructions, wherein the processor executes the one or more instructions to input an input value related to driving of a rack to an artificial neural network model, obtain one or more estimation values related to steering output by the artificial neural network model, and compare the one or more estimation values with one or more actual measurement values related to the steering to detect whether the steering motor is abnormal, wherein the rack receives a driving force from a wheel actuator driven to correspond to the manipulation of the steering wheel and moves a wheel of the vehicle.

Abstract: A brake motor abnormality detection device may detect abnormality of a brake motor generating a driving force to displace a friction member at a side of a wheel of a vehicle to generate a braking force caused by friction due to the displacement of the friction member. The brake motor abnormality detection device includes a memory in which one or more instructions are stored and a processor configured to execute the one or more instructions to input input data to an artificial neural network model configured to receive the input data and output an estimation value of an output variable related to an output of the brake motor, obtain the estimation value of the output variable, and detect whether the brake motor is abnormal by using a difference between the estimation value of the output variable and a measurement value of the output variable.

Abstract: A hydraulic pressure generation motor abnormality detection device may detect abnormality of a hydraulic pressure generation motor configured to drive a pump to generate a hydraulic pressure corresponding to an input displacement of a brake pedal of a vehicle, and includes a memory in which one or more instructions are stored and a processor configured to execute the one or more instructions, wherein the processor executes the one or more instructions to input input data to an artificial neural network model configured to receive the input data and output an estimation value of an output variable related to an output of the hydraulic pressure generation motor, obtain the estimation value of the output variable, and detect whether the hydraulic pressure generation motor is abnormal by using a difference between the estimation value of the output variable and an actual measurement value of the output variable.

Abstract: Disclosed are a device and method for detecting an abnormality of a motor of a column electric power steering (EPS), and a non-transitory computer-readable storage medium storing a program for performing the method.