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Graph based signal-behavior-structure mapping for state maintenance of equipment

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Abstract

Equipment has dual nature: physical objects existing in nature, and artificial objects designed by human. The decision on the configuration and structural parameters of equipment is made by engineers based on technical-physical effects which control the behavioral parameters of the equipment. Sensors are mounted on the equipment to monitor the equipment state. Current methods for state monitoring and diagnosis mostly use mathematics and artificial intelligence technology to construct evaluation methods. This paper presents an integrated design and state maintenance method, in which graph and dual graph are used for recording design data and sensor arrangement and for mapping method from signals to substructures and connection pairs. An example of state maintenance of hydro power generating equipment is illustrated.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China

    Wei Zhang  (张 伟) & Yuemin Hou  (侯悦民)

  2. School of Electromechanical Engineering, Beijing Information Science and Technology University, Beijing, 100085, China

    Yuemin Hou  (侯悦民)

Authors
  1. Wei Zhang  (张 伟)
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  2. Yuemin Hou  (侯悦民)
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Corresponding author

Correspondence to Yuemin Hou  (侯悦民).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 51175284)

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Zhang, W., Hou, Y. Graph based signal-behavior-structure mapping for state maintenance of equipment. J. Shanghai Jiaotong Univ. (Sci.) 22, 349–354 (2017). https://doi.org/10.1007/s12204-017-1842-4

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  • DOI: https://doi.org/10.1007/s12204-017-1842-4

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