The invention relates to the technical field of vehicle fault diagnosis, and particularly discloses a vehicle
steering system abnormal sound real-time detection method. A differential mechanism turning abnormal
sound detection and avoidance scheme in the prior art has defects and mainly depends on
gasket surface treatment, the effect has timeliness, real-time monitoring cannot be achieved, the abnormal sound problem cannot be thoroughly avoided, and long-term
noise, vibration, sound vibration roughness performance and driving comfort of a vehicle are affected. The method aims at solving the problems, data preprocessing and
feature extraction are carried out by collecting the vehicle running state and acoustic data, and an abnormal
sound detection model is constructed and trained based on the processed
feature data. By integrating the multi-source sensor data and the advanced
machine learning model, the abnormal sound of the vehicle
steering system can be accurately detected in real time, the
noise, vibration and sound vibration roughness performance and driving comfort of the vehicle are effectively improved,
predictive maintenance is supported, and therefore the overall reliability and safety of the vehicle are improved.