Research And Implementation Of Intelligent Analysis System For Automobile Accidental Fault

Stepping into the information age,with the rapid development of the automotive industry,the number of vehicles in China has continued to increase,and with the rapid development of computer electronic technology in all walks of our life,The functionality applied to vehicle is becoming more and more complicated,the user's demand for vehicles is not just a transport.At the same time,an increasing number of accidental car failures are exposed to the user and maintenance personnel's vision.This paper focuses on the diagnosis of these faults based on the traditional fault diagnosis,based on the data analysis,using the method of machine learning.Through the theoretical analysis of various machine learning algorithms and the comparison of similar algorithms,the fault intelligent analysis model is constructed by logic regression algorithm,and the contingency intelligent analysis system is developed on this basis.Firstly,the intelligent analysis system designed in this paper consists of three parts:diagnostic terminals,data preprocessing,intelligent analysis client.The diagnosis terminal mainly carries on the connection of the on-board OBDII interface through the diagnostic instrument,carries on the diagnosis data collection according to the specified request,and downloads to the local server through the software part of the diagnostic instrument,further to preprocess the diagnosis data.The data base is provided for the research of intelligent analysis.Secondly,according to the characteristics of vehicle accidental fault diagnosis data,the logic regression(Logistic Regression)is used to construct the intelligent analysis model of this system.For fault identification,the algorithm is better than that of support vector machine and decision tree in classification accuracy.In the application of the logical regression algorithm,the variation of classification accuracy(fault recognition rate)is analyzed when the classification feature is incremental.Each increment carries on the comparative analysis,and calculates each classification characteristic to a particular fault,its characteristic influence weight,and finally analyzes the main factors which are the occurrence of the accidental fault,which feature is the most important parameter.At the same time,different methods are applied to analyze and study the characteristics of different accidental fault data.Finally,an intelligent analysis system for accidental faults of automobiles is designed and implemented.Through the proper artificial preprocessing,the system can be designed according to the specific fault characteristics and data characteristics,then the system function is summarized and the whole frame of the system is designed,and the contents of the core part of the system are realized,and the intelligent analysis system for accidental faults of automobiles is accomplished.At last,this paper summarizes and the future research prospects.