Fault diagnosis for complex equipment based on belief rule base with adaptive nonlinear membership function

HIGHLIGHTS

• who: Zheng Lian and colleagues from the Missile Engineering Institute, PLA Rocket Force University of Engineering, Xi`an, China have published the paper: Fault Diagnosis for Complex Equipment Based on Belief Rule Base with Adaptive Nonlinear Membership Function, in the Journal: Entropy 2023, 442 of /2023/
• what: In this paper a new fault diagnosis model based on BRB is proposed. The contributions of this paper are the following: A new BRB considering nonlinear membership function, which can adaptively deal with the non-uniform distribution of observation data in fault diagnosis, is proposed. Chen et_al proved . . .
  

   

  

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