CAJ | 학술논문

针对神经网络在气象仪故障诊断中的应用研究，提出了以神经网络技术为基准，针对气象仪常见的几类故障分别建立相对应的子神经网络，并总体组成一个神经网络系统来诊断气象仪的故障方法，以帮助维修人员快捷、准确、自动地诊断出故障原因，以降低故障处理时间，提高运行效率。
침대신경망락재기상의고장진단중적응용연구，제출료이신경망락기술위기준，침대기상의상견적궤류고장분별건립상대응적자신경망락，병총체조성일개신경망락계통래진단기상의적고장방법，이방조유수인원쾌첩、준학、자동지진단출고장원인，이강저고장처리시간，제고운행효솔。
In this paper, the neural network has been used in weather instrument fault diagnosis. It proposed neural network technology as the basis for the common types of weather instrument failure to establish the corresponding sub-neural network, and the overall composition of a general neural network system diagnostic the weather instrument failure, to help maintenance personnel is fast, accurate, and automatically diagnose the problem. This method reduced the troubleshooting time and im-proved operational efficiency.