Study on Fault Diagnosis and Maintenance of Electronic Control Engine Based on Waveform And Data Flow
In order to improve the accuracy of fault diagnosis and maintenance efficiency of automobile electric control engine,the analysis method based on waveform and data flow is studied.This paper puts forward the in-novative methods of efficient diagnosis and maintenance of electronic automobile control engine faults through multi-dimensional feature identification and extraction,fault diagnosis model design and decision support expert system development,and analyzes the common problems such as sensor fault,actuator fault and signal process-ing and transmission fault in detail.The results show that this method can not only effectively improve the accu-racy of fault diagnosis,but also provide more scientific guidance for maintenance work,improve the maintenance quality of electronic controlled engine,and optimize the maintenance process and diagnosis efficiency of electronic controlled engine.
Multi-dimensional feature identificationFault diagnosis modelDecision support expert system
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