CAJ | 학술논문

通过对混凝土输送液压系统的失效形式和故障机制进行分析，提出将Elman神经网络算法应用于混凝土输送液压系统故障诊断的方法。针对混凝土输送液压系统故障诊断的特点，建立Elman神经网络故障诊断模型。选择典型的故障样本训练网络，并使用Matlab神经网络工具箱进行模拟仿真，仿真结果验证了该方法的可行性。
통과대혼응토수송액압계통적실효형식화고장궤제진행분석，제출장Elman신경망락산법응용우혼응토수송액압계통고장진단적방법。침대혼응토수송액압계통고장진단적특점，건립Elman신경망락고장진단모형。선택전형적고장양본훈련망락，병사용Matlab신경망락공구상진행모의방진，방진결과험증료해방법적가행성。
The paper analyzes the failure type and fault mechanism of the concrete conveying hydraulic system , and points out to apply Elman neural network in the fault diagnosis of concrete conveying hydraulic system .In view of character-istics of the fault diagnosis , the Elman neural network fault diagnosis model is built and typical fault samples are chosen to train the network.Simulation is also performed by the tool box of Elman neural network , and the simulation result verifies feasibility of the method.