文章基本信息

标题：Research and Design of the Tobacco Machinery Equipment Remote Fault Diagnosis System Platform
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作者：Jie Zhang ; Miaomiao Zhao
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2016
卷号：11
期号：6
页码：219-226
DOI：10.14257/ijmue.2016.11.6.19
出版社：SERSC
摘要：Because of the machine equipment fault has the fuzzy characteristics, based on the ZJ19E monitoring system, proposed one kind based on the Internet of things technology and fuzzy neural network intelligent fault diagnosis of remote control system scheme, established the fault diagnosis model based on fuzzy neural network, realizes the remote diagnosis of the machine equipment fault, improves the traditional control methods greatly improved productivity and automation, and improves the high rate of fault diagnosis of the machine equipment, makes the ZJ19E monitoring system remotable and intelligentialize.
关键词：monitoring system; fuzzy neural network; intelligent diagnosis