BP神经网络在诊断气象仪故障的研究  

Application Research of BP Neural Networks in Fault Diagnosis for Meteorological Instrument

作　　者：邓万红[1] 籍艳[2,3] 王平[2,3] 

机构地区：[1]中国人民解放军92493部队98分队 [2]山东省海洋环境监测技术重点实验室 [3]山东省科学院海洋仪器仪表研究所

出　　处：《科技创新与生产力》2014年第9期68-69,共2页Sci-tech Innovation and Productivity

摘　　要：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。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.

关 键 词：BP神经网络 气象仪 故障诊断 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]