Research and Application of Fault Diagnosis Method for Automobile Electronic Control Engine Based on Data Stream Analysis

Abstract

In the process of diagnosing automobile electronic control engine faults, using data flow analysis methods as the main fault diagnosis work can not only improve the efficiency of fault diagnosis, but also have a positive significance for the development of China’s automobile industry. The engine is not only the main component of the automobile, but also the key content that must be paid attention to in the development of the automobile industry. Once a car engine fails, it will have a great impact on the operation of the whole car. In order to be able to accurately grasp the specific fault conditions of automobile electronically controlled engines, we need to use effective fault diagnosis methods for analysis. At present, the application of dynamic data flow and static data flow analysis methods can accurately grasp the actual situation of the engine to a large extent. The use of data flow analysis to carry out effective troubleshooting and handling of the cause of the fault can reduce the possibility of engine failure. Experts need to analyze the specific conditions of the data flow during the research process, and discuss the specific application of the data flow analysis method in the process of automobile electronic control engine fault diagnosis. Thereby it can provide accurate reference for the fault diagnosis of automobile electronic control engine, ensure the safe operation of automobile electronic control engine, and improve the production efficiency of automobile enterprises.