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Volume 37 Issue 3
Mar.  2015
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ZHANG Tianqi, QUAN Shengrong, QIANG Xingzi, JIANG Xiaolei. Time-frequency Analysis Method Based on Multi-scale Chirplet Sparse Decomposition and Wigner-Ville Transform[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1333-1339. doi: 10.11999/JEIT160750
Citation: Tang Wei, Jing Bo, Huang Yi-Feng. Creditability Analysis of Sensor Data in the Cyber-physical System Based on the Relationship Diagram Model[J]. Journal of Electronics & Information Technology, 2015, 37(3): 679-685. doi: 10.11999/JEIT140437

Creditability Analysis of Sensor Data in the Cyber-physical System Based on the Relationship Diagram Model

doi: 10.11999/JEIT140437
  • Received Date: 2014-04-03
  • Rev Recd Date: 2014-08-05
  • Publish Date: 2015-03-19
  • The high uncertainty and randomness are the characteristics of the sensor data in the Cyber-Physical Systems (CPS), which make the data unreliable. A creditability analysis framework is proposed to solve those problems. Abandoning the idea that the sensor is the center in modeling, the theory takes monitoring targets into consideration and constructs the sensor-target relationship diagram, which is the base of the creditability reasoning algorithm. Meanwhile, in order to reduce the space and time of searching the relationship diagram, an improving reasoning method basing on filtering the incredible targets is designed. The examples demonstrate that the proposed algorithm can filter out the false message in the sensor data and enhances the creditability of the data in CPS.
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