Prediction of Failures to Enhance Fail-Safe in Steer-by-Wire System

Steer-by-wire (SbW) systems have considerably popular in this era as it has advantages in design, flexibility, and ease of construction. In the other hand SbW systems also has considerable failure risks as there is no mechanical connection between the steering wheel and axle. In this paper, we discuss on prediction of possible failures in a SbW system based on the existing research done in industry, which can be potentially taken to enhance the fail-safe of the system. The failure prediction system relies on multiple inputs. Some inputs, like plausibility errors from the steering position sensor, directly inform the system about potential failures. Additionally, to ensure fail-safety, predictions are enhanced by using various sensors, such as a vibration sensor on the axle for vibration pattern analysis and a proximity sensor on the axle to detect misalignments. These inputs contribute to generating an optimal failure prediction. A thorough review of existing research has been conducted to identify and address gaps in failsafe mechanisms for Steer-by-Wire (SbW) systems through the proposed failure predictions. The experimentation data provides an initial step for the proposed method of achieving better results of prediction of failure.