CAJ | 학술논문

　　柴油机在农业机械中被广泛应用，由于运行状况复杂，故障类型和部位种类繁多。为此，提出了将神经网络技术与专家系统融合的集成式故障诊断专家系统，对柴油机进行不解体故障诊断。以燃油系统故障为例，介绍了神经网络专家系统特点、结构及诊断方法，并对295D柴油机在不同的工况下采集气缸盖的振动信号进行测试，用RBF 神经网络对测试数据进行训练。训练测试结果表明，用此系统诊断295D 柴油机常出现故障有良好的效果。
　　시유궤재농업궤계중피엄범응용，유우운행상황복잡，고장류형화부위충류번다。위차，제출료장신경망락기술여전가계통융합적집성식고장진단전가계통，대시유궤진행불해체고장진단。이연유계통고장위례，개소료신경망락전가계통특점、결구급진단방법，병대295D시유궤재불동적공황하채집기항개적진동신호진행측시，용RBF 신경망락대측시수거진행훈련。훈련측시결과표명，용차계통진단295D 시유궤상출현고장유량호적효과。
Diesel Engine is widely used in agricultural machinery .Because the operation condition is complex , the fault type and the position are also numerous .This paper puts forward a fault diagnosis system which integrated the neural net-work and the expert system .And it was applied in the non-disintegration of fault diagnosis to the diesel engine .So this paper takes the fuel oil system failure for example .A neural network expert system characteristics , structure and diagnos-tic methods were proposed ,and the vibration signal of 295D engine was tested in different working conditions ,and the tes-ting data s are trained using RBF neural network .The test results show that the diagnosis system can obtain good diagno-sis effect for the faults of the 295D diesel engine.