Chang'an University

Yuande Jiang

Xiangmo Zhao

Zhen Wang

Runmin Wang

Zhigang Xu

Yu Zhu

Zhanwen Liu

Pengpeng Sun

Siyuan Gong

Xia Wu

Haigen Min

Yukun Fang

Wuqi Wang

Chaoyi Cheng

A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.

Method and system for fault diagnoses of intelligent vehicles

Growing community of inventors

ShaanXi, China

Yuande Jiang