Automotive Engine Fault Diagnosis System Based on Information Fusion Technology

Automobile fault diagnosis technology is a comprehensive technology based on automobile internal combustion engine theory, automobile fault diagnosis, automobile internal combustion engine structure principle, computer control technology and automobile running performance, and takes automobile test and detection technology as test means. The car engine will have a variety of failures, but it is mainly divided into three categories, respectively, valve failure, piston knock failure and engine fire failure. Based on information fusion technology, this paper studies the fault diagnosis system of automobile engine, and provides a more scientific method for the fault diagnosis of automobile engine. Firstly, the function of automobile engine fault diagnosis system is designed. Then, the principle of information fusion fault diagnosis is explained. Finally, a multi-sensor information fusion algorithm based on Bayesian estimation is constructed. The research results provide a complete solution for automotive engine fault diagnosis system, and have a high scientific level for improving the level of automotive engine fault diagnosis.