Failure recognition and detection method for intelligent drive axle system

Abstract

The invention provides a failure recognition and detection method for an intelligent drive axle system and belongs to the failure recognition and detection methods. Signals are collected by sensors which are mounted on the corresponding positions on the drive axle; the collected signals are transmitted to an embedded system through a filtering process and A/D (analog to digital conversion), and a hardware load of the embedded system is a single chip microcomputer system with strong computing capability; then a BP (back propagation) network algorithm is loaded in the embedded system, a programming of the BP network algorithm is automatically generated according to a model-based design process, and the embedded system can feed back the executive effect of an actual code to a model-based design module, thus the code generation is timely improved; through analysis of the embedded system, failure type is acquired, state of the drive axle is timely monitored through an alarm and a liquid crystal display device, and once the failure occurs, the driver is reminded to do necessary operations, and the corresponding failures are alarmed before the failure occurs to the drive axle.

Description

technical field [0001] The invention provides a fault identification and detection method for an intelligent drive axle system, which belongs to the fault identification and detection method. Background technique [0002] Today, with the development of science and technology, the automobile industry has become an irreplaceable pillar industry in the industrialized countries of the world. The annual output of automobiles has reached more than 56 million and is still on the rise. The number of cars in the world has also reached more than 700 million and continues to increase, which leads to an increasing demand for drive axles. As the main component of the car, the axle of the car will cause serious traffic safety once it breaks down. Therefore, fault detection and diagnosis technology is a necessary way to enhance the safety performance of automobiles and ensure driving safety. However, at present, the main methods of automobile maintenance mainly adopt "after-event mainten...

AI Technical Summary

Problems solved by technology

However, at present, the main methods of automobile maintenance mainly adopt "after-event maintenance" and regular mandatory maintenance of automobiles. Their disadvantages are obvious. Sexual regular maintenance usually results in blind repair or disrepair

[0003] The defect of the current existing technology is that it is impossible to predict the failure of the driving axle before the failure of the driving axle and send an alarm

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