Research On Automotive Engine Fault Diagnosis And Prediction System Based On DSP

With the rapid developing of science and technology, the application of newtechnologies in the field of automotive increased rapidly, combined the high-techcomputer technology and electronic technology into the automotive field, leadingautomotive into a complex and intricate system. While the malfunction problems of carsbecoming more and more complicated and diversified, thus the technology of how toacquire signal in order to determine the automobile fault diagnosis has became the newtendency of the development of the automobile fault diagnosis. With the developmentof fault diagnosis technology, promoting the automobile safety, and reducing theharmful exhaust emissions, prolonging the working life of the car and the developmentof some technology. Therefore, the study of automotive fault diagnosis technology has agreat significance in the driving safety and the pollution to environment.An automotive engine fault diagnosis and prediction system based on DSP wasproposed in this dissertation. Firstly, analysis the mechanism of CO, HC, CO₂, O₂inautomobiles exhaust, also studied the incidence relation between automobiles enginemalfunction, automobiles exhaust and correlation of engine vibration and noise.Secondly, it has designed the overall structure framework of automobile engine faultdiagnosis and forecasting system. Based on the system demand of the automobileengine fault diagnosis and forecast system, DSP chip is the main control chip. Thesystem hardware circuit mainly included the tail gas detection circuit, wirelesstransmission circuit, vibration and noise detection circuit, TFT display circuit, SD cardstorage circuit, TMS320F2812minimum system circuit, and USB communicationcircuit. Designed a whole system of the software structure block diagram, explained thedetails of each subroutine modules in the context, and adopted the genetic neuralnetwork algorithm in fault diagnosis and prediction of reasoning. Finally, the systemanalyzed automobile exhaust components, engine diagnostics, engine knock cars andother parameters to reasoning failures occur or failures which may occur, and showed the user the appropriate dressing tips in the TFT.Through experiment and debugging in variety of working condition, thisautomobile engine fault diagnosis and prediction system realized the function ofautomobile engine fault diagnosis and forecast, especially in the loss of car had predictfailure prediction ability more accurately. With the characteristics of high precisionmeasurement and forecast accuracy, also the smaller volume of the appearance, lowerpower consumption, easier installation, and harmonious human-computer interface etc,the system proposed in this dissertation was suitable for popularization and application.