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作者:

Zan Tao (Zan Tao.) | Wang Min (Wang Min.) (学者:王民) | Hu Jianzhong (Hu Jianzhong.) | Liu Xiao (Liu Xiao.) (学者:刘晓)

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摘要:

This paper introduces a novel approach for mechanical manufacturing system to implement status monitoring and fault diagnosis. The embedded hardware and software framework for terminal device is discussed to ensure high performance, high reliability, high expansibility, low power and small volume. According to the demand of remote status monitoring, the strategy of data transmission and information sharing is applied to provide the analyzing and diagnosing service based on intranet/internet. The artificial intelligent technique is used for information fusion and fault diagnosis of manufacturing system. The proposed approach shows great potential for improving overall production efficiency, while reducing the cost of maintenance.

关键词:

fault diagnosis information fusion manufacturing system remote monitoring

作者机构:

  • [ 1 ] [Zan Tao]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Sch Mech Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Wang Min]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Sch Mech Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Hu Jianzhong]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Sch Mech Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Liu Xiao]Beijing Univ Technol, Dept Sci & Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • [Zan Tao]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Sch Mech Engn, Beijing 100124, Peoples R China

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来源 :

ADVANCES IN PRECISION INSTRUMENTATION AND MEASUREMENT

ISSN: 1660-9336

年份: 2012

卷: 103

页码: 229-,

语种: 英文

被引次数:

WoS核心集被引频次: 1

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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