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
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

Optimal Design of Rectification Circuit in Electronic Circuit Fault Self-repair Based on EHW and RBT

doi: 10.1049/cje.2017.09.009
Funds:  This work is supported by the National Natural Science Foundation of China (No.61271153, No.61372039).
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  • Corresponding author: CAI Jinyan (corresponding author) was born in 1961. She is a professor and Ph.D. supervisor at Department of Electronic and Optical Engineering, Mechanical Engineering College. She received B.S. degree from Nanjing University of Science and Technology. She received M.S. degree from Tsinghua University and received Ph.D. degree from Nanjing University of Science and Technology. Her area of research includes electronic system fault diagnosis, electronic system reliability, fault self-repair and Evolvable hardware (EHW). (Email:cjyrad@163.com)
  • Received Date: 2016-01-08
  • Rev Recd Date: 2016-10-08
  • Publish Date: 2018-01-10
  • Reliability of traditional electronic circuit is improved mainly by redundant fault-tolerant technology with large hardware resource consumption and limited fault self-repair capability. In complicated environment, electronic circuit faults appear easily. If on-site immediate repair is not implemented, normal running of electronic system will be directly affected. In order to solve these problems, Evolvable hardware (EHW) technology is widely used. The conventional EHW has some bottlenecks. The optimal design of Rectification circuit (RTC) is further researched on the basis of the previously proposed fault self-repair based on EHW and Reparation balance technology (RBT). Fault sets are selected by fault danger degree and fault coverage rate. The optimal designed RTC can completely repair faults in the fault set. Simulation results prove that it has higher self-repair capability and less hardware resource.
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  • 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.
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