The data-driven fault diagnosis methods can improve the reliability of analog circuits by using the data generated from it. The data have some characteristics, such as randomness and incompleteness, which lead to the ...The data-driven fault diagnosis methods can improve the reliability of analog circuits by using the data generated from it. The data have some characteristics, such as randomness and incompleteness, which lead to the diagnostic results being sensitive to the specific values and random noise. This paper presents a data-driven fault diagnosis method for analog circuits based on the robust competitive agglomeration （RCA）, which can alleviate the incompleteness of the data by clustering with the competing process. And the robustness of the diagnostic results is enhanced by using the approach of robust statistics in RCA. A series of experiments are provided to demonstrate that RCA can classify the incomplete data with a high accuracy. The experimental results show that RCA is robust for the data needed to be classified as well as the parameters needed to be adjusted. The effectiveness of RCA in practical use is demonstrated by two analog circuits.展开更多
为适应长征四号系列运载火箭控制系统的新状态、新需求,进一步提高控制系统测试覆盖性、消除安全隐患,对运载火箭测试系统开展了技术研究。通过梳理测试系统的功能,提出了一套基于面向仪器系统PCI扩展(PCI Extensions for Instrumentati...为适应长征四号系列运载火箭控制系统的新状态、新需求,进一步提高控制系统测试覆盖性、消除安全隐患,对运载火箭测试系统开展了技术研究。通过梳理测试系统的功能,提出了一套基于面向仪器系统PCI扩展(PCI Extensions for Instrumentation,PXI)技术的运载火箭实时监测系统,该套系统以PXI计算机为核心,结合模拟量采集、数字量采集、实时以太网和数据自动识别判读等技术,可完成该型号背景下的调试、试验和验收工作。测试数据表明,测试系统数据处理正确、系统匹配性合理、测量精度高,通用性强,在高态势的发射需求下,具有很好的应用前景。展开更多
基金supported by the National Natural Science Foundation of China (61202078 61071139)the National High Technology Research and Development Program of China (863 Program)(SQ2011AA110101)
文摘The data-driven fault diagnosis methods can improve the reliability of analog circuits by using the data generated from it. The data have some characteristics, such as randomness and incompleteness, which lead to the diagnostic results being sensitive to the specific values and random noise. This paper presents a data-driven fault diagnosis method for analog circuits based on the robust competitive agglomeration （RCA）, which can alleviate the incompleteness of the data by clustering with the competing process. And the robustness of the diagnostic results is enhanced by using the approach of robust statistics in RCA. A series of experiments are provided to demonstrate that RCA can classify the incomplete data with a high accuracy. The experimental results show that RCA is robust for the data needed to be classified as well as the parameters needed to be adjusted. The effectiveness of RCA in practical use is demonstrated by two analog circuits.
文摘为适应长征四号系列运载火箭控制系统的新状态、新需求,进一步提高控制系统测试覆盖性、消除安全隐患,对运载火箭测试系统开展了技术研究。通过梳理测试系统的功能,提出了一套基于面向仪器系统PCI扩展(PCI Extensions for Instrumentation,PXI)技术的运载火箭实时监测系统,该套系统以PXI计算机为核心,结合模拟量采集、数字量采集、实时以太网和数据自动识别判读等技术,可完成该型号背景下的调试、试验和验收工作。测试数据表明,测试系统数据处理正确、系统匹配性合理、测量精度高,通用性强,在高态势的发射需求下,具有很好的应用前景。
