计算机工程

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模拟电路在线故障检测与诊断的FPGA实现

罗旗舞1,何怡刚1,2,李中群3,郑 剑1,于文新1   

  1. (1. 湖南大学电气与信息工程学院,长沙 410082;2. 合肥工业大学电气与自动化工程学院,合肥 230009; 3. 中国电子科技集团公司第四十一研究所电子测试技术国家科技重点实验室,山东 青岛 266555)
  • 收稿日期:2013-07-08 出版日期:2013-11-15 发布日期:2013-11-13
  • 作者简介:罗旗舞(1985-),男,博士研究生,主研方向:模拟电路故障测试与诊断,智能信息实时处理;何怡刚,教授、博士生导师;李中群、郑 剑、于文新,博士研究生
  • 基金项目:
    国家杰出青年科学基金资助项目(50925727);国家部委基金资助项目;湖南省科技计划基金资助项目(2010J4, 2011JK2023);教育部科学技术研究基金资助重大项目(313018)

FPGA Implementation of Online Fault Detection and Diagnosis for Analog Circuits

LUO Qi-wu 1, HE Yi-gang 1,2, LI Zhong-qun 3, ZHENG Jian 1, YU Wen-xin 1   

  1. (1. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China; 2. School of Electrical and Automation Engineering, Hefei University of Technology, Hefei 230009, China; 3. National Key Laboratory of Science & Technology on Electronic Test & Measurement,
  • Received:2013-07-08 Online:2013-11-15 Published:2013-11-13

摘要: 选择节点电压、幅频特性和相频特性构成故障特征向量集,并根据多通道宽带数据采集接口和驱动程序,给出全数字式的正交幅相特性实时检测方法。利用网络分析与信息融合技术,设计一种模拟电路在线检测和诊断方案,并在现场可编程门阵列硬件系统中进行实现,以解决诸多模拟电路故障诊断算法缺乏测试平台而停留在仿真阶段的问题。实例分析结果表明,该系统可有效识别电路软故障,在存在元件容差的情况下,其识别准确率高达96%,时间消耗低于60 ms。

关键词: 故障诊断, 现场可编程门阵列, 模拟电路, 软故障, 正交技术, 信息融合, 幅频特性, 相频特性

Abstract: This paper chooses node voltage, characteristics of amplitude-frequency and phase-frequency as fault feature vector set, which can be captured by the multichannel wide-band data acquisition interface equipped with corresponding driver program. Taking advantages of network analysis and information fusion, it proposes the full-digital and orthogonal approaches for detecting magnitude-phase characteristics in real time. The paper develops and implements a modular analog circuit fault diagnostic hardware architecture based on Field Programmable Gate Array(FPGA), solving the problem that most diagnosis algorithms of analog circuits are staying in the simulation stage as lacking of related platforms. Case analysis results show that the system can deal with the tolerance fault efficiently, and its recognizing accuracy achieves high up to 96%, while the time consumption is within 60 ms, although there is some overlapping data when tolerance is considered.

Key words: fault diagnosis, Field Programmable Gate Array(FPGA), analog circuits, soft fault, orthogonal technique, information fusion, amplitude-frequency characteristic, phase-frequency characteristic

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