• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Cui Lingli (Cui Lingli.) (学者:崔玲丽) | Zhang Jianyu (Zhang Jianyu.) | Ding Fang (Ding Fang.) | Gao Lixin (Gao Lixin.) | Wang Dapeng (Wang Dapeng.)

收录:

CPCI-S

摘要:

Traditional fault diagnosis systems of rolling mills mostly use single machine monitoring net, which leads the real-time data running only in the enterprise locally and can not monitor and manage the high-speed wire rolling mills between units, workshops and factories concentratedly. A new-type structure of remote diagnosis system for high-speed wire rolling mills is presented in this paper. The signal processing, computer network and remote diagnosis etc techniques are used to predictive maintenance manage the rolling mills units in this system. The new structure reinforced the remote feedback function, made up the existing fault diagnosis systems' insufficiency in the extension and the function, promoted resource sharing and avoided the repeat development. The remote diagnosis example shows that the system can monitor and diagnose the fault information of remote machine timely and effectively.

关键词:

fault diagnosis remote diagnosis remote monitoring rolling mills

作者机构:

  • [ 1 ] Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Key Lab Beijing Municipal, Beijing 100022, Peoples R China

通讯作者信息:

  • 崔玲丽

    [Cui Lingli]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Key Lab Beijing Municipal, Beijing 100022, Peoples R China

电子邮件地址:

查看成果更多字段

相关关键词:

相关文章:

来源 :

1st International Symposium on Digital Manufacture, Vols 1-3

年份: 2006

页码: 612-616

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 4

在线人数/总访问数:163/3603839
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司