基于波形分析的氧传感器故障诊断方法研究  

Research on Fault Diagnosis Method of Oxygen Sensor Based on Waveform Analysis

作　　者：任艺 REN Yi(Hangzhou Vocational and Technical College of Science and Technology,Hangzhou 311402,China)

机构地区：[1]杭州科技职业技术学院,杭州311402

出　　处：《内燃机与配件》2021年第4期127-128,共2页Internal Combustion Engine & Parts

摘　　要：氧传感器通过检测发动机排放尾气中氧离子的含量进而获得混合气空燃比信号。空燃比的大小直接影响发动机有害气体(HC、CO、NOx)的排放量,因此本文对比分析帕萨特1.8T发动机中氧传感器的正常工作波形和故障波形,提取波形上特征值,建立BP神经网络,输出故障类型。通过10组测试数据的诊断结果得出结论:基于波形分析的氧传感器故障诊断方法是可行的。The oxygen sensor detects the content of oxygen ions in the exhaust gas of the engine to obtain the air-fuel ratio signal of the mixture.The air-fuel ratio directly affects the emission of harmful gases(HC,CO,NOx)in the engine,so this article compares and analyzes the normal working waveform and the fault waveform of the oxygen sensor in the Passat 1.8T engine,extracts the characteristic values on the waveform,and establishes a BP neural network.Output fault type.Based on the diagnosis results of 10sets of test data,it is concluded that the oxygen sensor fault diagnosis method based on waveform analysis is feasible.

关 键 词：氧传感器 波形分析 BP神经网络 故障诊断 

分 类 号：TK411[动力工程及工程热物理—动力机械及工程]