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Design and Implementation of Intelligent Monitoring and Diagnosis System Based on WSN and MAS

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Emerging Research in Web Information Systems and Mining (WISM 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 238))

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Abstract

Based on wireless sensor network (WSN), the process monitoring of mechanical equipment has some advantages like arranged flexibly, adaptable, maintenance cost. On the other hand, based on multi-agent system (MAS) fault diagnosis method has distributed, adaptive, and many other advantages. Combined the WSN and MAS, a fault monitoring and intelligent diagnosis system is proposed. The faults of equipment can be analyzed and fixed rapidly as well as improved equipment maintenance efficiency. As a key content, according to the requirements of high sampling rate, high precision, high speed and large amount of data transmission of mechanical equipment condition monitoring, the corresponding sensor node platform is design. Finally, through the production process in certain coal cleaning plant application equipment monitoring, the system validity and practicability are proved.

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Author information

Authors and Affiliations

  1. Research Institute of Mechanic-electronic Engineering, Taiyuan University of Technology, Taiyuan, China

    Bing Wu & Xiaoyan Xiong

  2. Center of information management and development, Taiyuan University of Technology, Taiyuan, China

    Jian Lin

Authors
  1. Bing Wu
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  2. Jian Lin
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  3. Xiaoyan Xiong
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Editor information

Editors and Affiliations

  1. Department of Computer and Information Science, University of Macau, Taipa, Macau, China

    Gong Zhiguo

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. School of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong SAR, China

    Fu Lee Wang

  5. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Wu, B., Lin, J., Xiong, X. (2011). Design and Implementation of Intelligent Monitoring and Diagnosis System Based on WSN and MAS. In: Zhiguo, G., Luo, X., Chen, J., Wang, F.L., Lei, J. (eds) Emerging Research in Web Information Systems and Mining. WISM 2011. Communications in Computer and Information Science, vol 238. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24273-1_40

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  • DOI: https://doi.org/10.1007/978-3-642-24273-1_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24272-4

  • Online ISBN: 978-3-642-24273-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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