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Author:

Zuo, Lei (Zuo, Lei.) | Hou, Ligang (Hou, Ligang.) | Zhang, Wang (Zhang, Wang.) | Geng, Shuqin (Geng, Shuqin.) | Wu, Wucheng (Wu, Wucheng.)

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EI Scopus

Abstract:

In order to solve the problem of fault diagnosis method for analog IC diagnosis, the method based on Adaptive Neural-fuzzy Inference System (ANFIS) is proposed. Using subtractive clustering and Particle Swarm Optimization (PSO)-hybrid algorithm as a tool for building the fault diagnosis model, then, the model of fault diagnosis system was used to the circuit fault diagnosis. Simulation results have shown that the method is more effective. © 2010 Springer-Verlag.

Keyword:

Swarm intelligence Fault detection Fuzzy inference Particle swarm optimization (PSO) Analog circuits Timing circuits Failure analysis Fuzzy systems Analog integrated circuits Fuzzy logic

Author Community:

  • [ 1 ] [Zuo, Lei]VLSI and System Lab., Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Hou, Ligang]VLSI and System Lab., Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zhang, Wang]VLSI and System Lab., Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Geng, Shuqin]VLSI and System Lab., Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Wu, Wucheng]VLSI and System Lab., Beijing University of Technology, Beijing 100124, China

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Source :

ISSN: 0302-9743

Year: 2010

Issue: PART 2

Volume: 6146 LNCS

Page: 51-57

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 16

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