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Author:

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

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

manufacturing system information fusion remote monitoring fault diagnosis

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

ADVANCES IN PRECISION INSTRUMENTATION AND MEASUREMENT

ISSN: 1660-9336

Year: 2012

Volume: 103

Page: 229-,

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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