朱爱军,陈端勇,许川佩,胡聪,李智.光片上网络MRR故障检测方法研究[J].电子测量与仪器学报,2017,31(8):1200-1206
光片上网络MRR故障检测方法研究
Research of MRR fault detection in photonic network on chip
  
DOI:10.13382/j.jemi.2017.08.006
中文关键词:  片上网络  故障  MRR
英文关键词:network on chip  fault  microring resonator
基金项目:国家自然科学基金(61561012)、国家留学基金(201508455020)、广西自动检测技术与仪器重点实验室基金(YQ16110)、广西高校科学技术研究项目(KY2015YB110)、广西中青年教师基础能力提升项目(2017KY0210)、桂林电子科技大学高层次人才项目(UF15008Y)资助
作者单位
朱爱军 1.桂林电子科技大学电子工程与自动化学院桂林541004; 2.广西自动检测技术与仪器重点实验室桂林541004 
陈端勇 1.桂林电子科技大学电子工程与自动化学院桂林541004; 2.广西自动检测技术与仪器重点实验室桂林541004 
许川佩 1.桂林电子科技大学电子工程与自动化学院桂林541004; 2.广西自动检测技术与仪器重点实验室桂林541004 
胡聪 1.桂林电子科技大学电子工程与自动化学院桂林541004; 2.广西自动检测技术与仪器重点实验室桂林541004 
李智 1.桂林电子科技大学电子工程与自动化学院桂林541004; 2.广西自动检测技术与仪器重点实验室桂林541004;3.桂林航天工业学院桂林541004 
AuthorInstitution
Zhu Aijun 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin 541004, China 
Chen Duanyong 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin 541004, China 
Xu Chuanpei 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin 541004, China 
Hu Cong 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin 541004, China 
Li Zhi 1. School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin 541004, China; 2. Guangxi Key Laboratory of Automatic Detecting Technology and Instruments, Guilin 541004, China; 3. Guilin University of Aerospace Technology, Guilin 541004, China 
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中文摘要:
      光片上网络(photonic network on chip, PNoC)是下一代片上网络互联的趋势和典范,MRR(microring resonator)是PNoC中的关键器件,然而由于制造缺陷,且MRR对温度波动高度敏感,MRR极易发生故障,如何检测MRR故障是十分重要并亟待解决的问题。针对该问题提出了一种基于故障检测图的MRR故障检测方法,将n端口的光路由器建模为完全加权有向图并且建立MRR故障模型,通过完全加权有向图与故障模拟,确定基于MRR故障模型和故障检测图的故障检测方法。实验结果证明,在单故障和双故障模拟下,该方法均能够获得满意的故障覆盖率。
英文摘要:
      Photonic network on chip (PNoC) has been a new trend and example for next generation multi processor system. Microring resonator(MRR)is the key component in PNoC. However, MRRs are sensitive to environmental temperature and prone to be faulty. Therefore, how to detect a MRR fault is a key problem. An approach based on fault check graph is proposed. An N port photonic router is modeled as a complete weighted directed graph called pre Fault Check Graph, and MRR model is created. By the complete weighted directed graph and fault simulation, the proposed method is established with fault check graph and MRR model. The experimental results prove that the proposed approach is effective with the single fault simulation and double fault simulation.
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