Citation: | ZHANG Junbin, CAI Jinyan, MENG Yafeng, “Optimal Design of Rectification Circuit in Electronic Circuit Fault Self-repair Based on EHW and RBT,” Chinese Journal of Electronics, vol. 27, no. 1, pp. 93-101, 2018, doi: 10.1049/cje.2017.09.009 |
G.J. Gao, Y.R. Wang and R. Yao, "Research on redundancy and tolerance of system with different structures", Transducer and Microsystem Technologies. Vol.26, No.10, pp.25-28, 2007.
|
S.Y. Yang, Fault Diagnosis and Reliability Design of Digital System", Tsinghua University press, Beijing, 1999.
|
J.B. Zhang, R.X. Wan, J.Y. Cai, et al., "Survey of electronic and circuit fault self-repair based on EHW", Application Research of Computers, Vol.30, No.12, pp.3521-3524, 2013.
|
A.N. Wang, M. Sha, L.M. Liu, et al., "A new process industry fault diagnosis algorithm based on ensemble improved binary-tree SVM", Chinese Journal of Electronics, Vol.28, No.6, pp.1254-1260, 2015.
|
X. Zhao, S.C. Wang, J.S. Zhang, et al., "Real-time fault detection method based on belief rule base for aircraft navigation system", Chinese Journal of Aeronautics, Vol.26, No.3, pp.717-729, 2013.
|
Y.M. Ouyang, Y.D. Zhang, H.G. Liang, et al., "A faulttolerant design of faults and congestion-aware router in threedimensional network-on-chip", Acta Electronica Sinica, Vo1.41, No.5, pp.912-917, 2013. (in Chinese)
|
W. Pan, H. Liu and G.J. Li, "Implementation of FFT processor based on dynamic partial reconfiguration", Microelectronics, Vol.39, No.1, pp.39-72, 2009.
|
G.F. Hao, Y.R. Wang, Z. Zhang, et al., "In-chip fault localization and self-Repairing method for reconfigurable hardware", Acta Electronica Sinica, Vol.40, No.2, pp.384-388, 2012. (in Chinese)
|
T. Kuyucu, M.A. Trefzer, J.F. Miller, et al., "An investigation of the importance of mechanisms and parameters in a multicellular developmental system", IEEE Transactions on Evolutionary Computation, Vol.15, No.3, pp.313-345, 2011.
|
K. Sokehwan, C. Hyunho, Y. Isaak, et al., "A hierarchical selfrepairing architecture for fast fault recovery of digital systems inspired from paralogous gene regulatory circuits", IEEE Transactions on Very Large Scale Integation (VLSI) Systems, Vol.20, No.12, pp.2315-2328, 2012.
|
C.H. Pauline and M.T. Andy, "Challenges of evolvable hardware:past, present and the path to a promising future", Genetic Programming and Evolvable Machines, Vol.12, No.6, pp. 183-215, 2011.
|
G.X. Zhang, H.N. Rong, J.X. Cheng, et al., "A populationmembrane-system-inspired evolutionary algorithm for distribution network reconfiguration", Chinese Journal of Electronics, Vol.23, No.3, pp.437-441, 2013.
|
N.C. Perng, S.H. Hung and C.H. TuTask, "Scheduling for context minimization in dynamically reconfigurable platforms", Journal of Signal Processing Systems, Vol.59, No.1, pp.3-12, 2010.
|
P. Tino, S.Y. Chong and X. Yao, "Complex coevolutionary dynamicsstructural stability and finite population effects", IEEE Transactions on Evolutionary Computation, Vol.17, No.2, pp.155-164, 2013.
|
K. Dimir, P. Marek, N. Vilem, et al., "Bio-inspired genetic algorithms on FPGA evolvable hardware", Lecture Notes in Computer Science, Vol.7197, No.1, pp.439-447, 2012.
|
J.B. Zhang, J.Y. Cai, Y.F. Meng, et al., "Fault self-repair strategy based on evolvable hardware and reparation balance technology", Chinese Journal of Aeronautics, Vol.27, No.5, pp.1211-1222, 2014.
|
R. Yao, S.L. Yu, Y.R. Wang, et al., "Online growing evolution and evaluation approach based on mainstream FPGA", Journal of Nanjing University of Aeronautics & Astronautics, Vol.39, No.5, pp.582-587, 2007.
|
W. He, R.L. Zhao and Q.X. Zhu, "Integrating evolutionary testing with reinforcement learning for automated test generation of object-oriented software", Chinese Journal of Electronics, Vol.24, No.1, pp.38-45, 2015.
|
K. Oliver, "Evolutionary self-adaptation:A survey of operators and strategy parameters", Evolutionary Intelligence, Vol.3, No.2, pp.51-65, 2010.
|
J.B. Zhang and J.Y. Cai, "Integrated design for fault diagnosis and Hardware Evolution", Microelectronics and Computer, Vol.31, No.2, pp.94-97, 2014.
|
T. Hakaru and S. Masatoshi, "Dynamically reconfigurable platform for self-organizing neural network hardware", Lecture Notes in Computer Science, Vol.6444, No.1, pp.439-446, 2010.
|
H.Q. Hao, H. Ma and J. Zhuang, "The study of a new complex system evolutionary algorithm for global optimal problems", Acta Electronica Sinica, Vol.41, No.4, pp.704-709. (in Chinese)
|
Q. Zhang, J. Zhou and X.Z. Yu, "An efficient high-speed realTime partially reconfigurable platform for evolvable hardware", Journal of Northwestern Polytechnical University, Vol.29, No.5, pp.761-765, 2011.
|
L. Gan, J.P. Xu and T.H. Bernard, "A computer-integrated FMEA for dynamic supply chains in a flexible-based environment", The International Journal of Advanced Manufacturing Technology, Vol.59, No.5, pp.697-717, 2012.
|
J.K. Chen, "Utility priority number evaluation for FMEA", Journal of Failure Analysis and Prevention, Vol.7, No.5, pp.321-328, 2007.
|
J.B. Zhang, J.Y. Cai, D.Y. Li, et al., "Ternary code implemented in hardware evolution research", Microelectronics and Computer, Vol.30, No.3, pp.1-4, 2013.
|
R. Poli, J. Kennedy and T. Blackwell, "Particle swarm optimization", Swarm Intelligence, Vol.1, No.1, pp.33-57, 2007.
|
H.T. Yin, P. Fu and Z. Sun, "Face feature selection and recognition using separability criterion and binary particle swarm optimization algorithm", Chinese Journal of Electronics, Vol.23, No.2, pp.361-3652013.
|
X. Ben and Y. Niu, "MCPSO:A multi-swarm cooperative particle swarm optimizer", Applied Mathematics and Computation, Vol.185, No.2, pp.1050-1062, 2007.
|
M.G. Gong, Q. Cai, X.W. Chen, et al., "Complex network clustering by multiobjective discrete particle swarm optimization based on decomposition", IEEE Transactions on Evolutionary Computation, Vol.18, No.1, pp.114-130, 2014.
|