Wavelet packet analysis of fault signal for core hanging basket using DSmT
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(1.Engineering Training Center,Harbin Engineering University,150001 Harbin, China; 2. National Defense Key Subject Laboratory for Nuclear Safety and Simulation Technology(Harbin Engineering University), 150001 Harbin, China)

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TP18

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    Abstract:

    This paper proposes a DSmT & wavelet packet energy analysis fusion method for the problem of reactor core hanging basket fault information. Three kinds of vibration signals in fault conditions from fastener bursting, fastener parts falling off and heat treatment deformation are analyzed and investigated. Then the extracted fault signal frequency band energy based method is directly used and assigned the collected data to DSmT reliability function. The experimental results show that diagnostic accuracy of DSmT is superior to sub-band energy vector graphics, and DSmT can effectively identify hanging basket failure mode with high diagnostic efficiency and reliability.

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History
  • Received:March 11,2014
  • Revised:
  • Adopted:
  • Online: November 09,2015
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