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Research on Fault Diagnosis of Mixed-Signal Circuits Based on Genetic Algorithms

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2 Author(s)
Shangcong Feng ; Sch. of Reliability & Syst. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China ; Xiaofeng Wang

As the fault modes of mixed-signal circuits growing, aiming at the features for its signal are both analog and digital amount, the paper analyzed that the fault diagnosis program of mixed-signal circuits with genetic algorithms by using SABER simulation method to inject faults and data collection based on a brief discussion of basic principles and operation of genetic algorithms, focused on consideration for the fitness functions of genetic algorithms, and then selected an optimization genetic algorithm to a specific airborne DC converter circuit's fault diagnosis, verifying the effectiveness of the method, provided a new diagnostic method for mixed-signal circuits.

Published in:

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on  (Volume:3 )

Date of Conference:

23-25 March 2012