基于ICA和STFFT算法的辐射EMI噪声分析与诊断方法

发布时间：2018-05-31 13:31

本文选题：电磁兼容 + 独立分量分析　；参考：《南京师范大学》2015年硕士论文

【摘要】：现代科学向着高频、高速、高灵敏度、高安装密度和高可靠性方向发展,而随着社会的发展和进步,各种电器设备已经渗入工业、农业、军事和家庭等各个领域,电磁环境日益复杂,使得人类居住的环境日益恶化。目前的电磁兼容问题分析方法都只能从理论和建模方面分析辐射问题,而无法判定噪声源,且其理论结果与实际有着一定的误差,因此复杂电子设备电磁辐射噪声源的识别和诊断成为了EMI故障分析中最大的挑战。针对上述问题,本文研究了“基于ICA和STFFT算法的辐射EMI噪声分析与诊断方法”,具体包含以下内容：(1)从基础理论出发,对复杂电子设备的辐射机理进行分析,提出了一种系统的、全面的、快速的多辐射源溯源方法。(2)研究复杂电子设备多辐射源的筛选方法和定位方法。将独立分量分析算法应用于多辐射源辐射噪声分析,将混合的辐射电磁干扰噪声信号分离成若干个独立的噪声信号,作为辐射噪声超标源头的备选信号。将时频分析方法应用于多辐射源辐射噪声研究,对分离后的独立辐射电磁干扰噪声信号进行时频分析,提取出各信号的时频特征,从而诊断出引起辐射超标的主要原因。(3)通过三组验证实验,分别将该方法应用于双共模模型、双差模模型和共差模混合模型中,成功将混合辐射噪声信号分离并且找出辐射超标的原因,验证了该筛选定位方法的可行性。最后两个实际的复杂电子产品案例分析,验证了该方法的有效性,成功找出了辐射超标的原因,并且采取了相应的整改措施,使得产品通过标准测试。理论分析与实验结果表明,本课题提出的方法能够应用于复杂电子设备的多辐射源溯源研究,可以准确快速地定位辐射源,采取相应的整改措施,对今后的辐射电磁干扰研究和工程人员的整改研究有着重要的参考和借鉴意义。
[Abstract]:Modern science is developing towards high frequency, high speed, high sensitivity, high installation density and high reliability. With the development and progress of society, all kinds of electrical equipment have penetrated into various fields such as industry, agriculture, military and family, etc. The electromagnetic environment is becoming more and more complex, which makes the living environment of human beings deteriorate day by day. The current EMC analysis methods can only analyze the radiation problem from the aspects of theory and modeling, but can not determine the noise source, and its theoretical results have some errors with the practice. Therefore, the identification and diagnosis of electromagnetic radiation noise source of complex electronic equipment has become the biggest challenge in EMI fault analysis. Aiming at the above problems, this paper studies the method of radiation EMI noise analysis and diagnosis based on ICA and STFFT algorithm, which includes the following contents: 1) based on the basic theory, the radiation mechanism of complex electronic equipment is analyzed. In this paper, a systematic, comprehensive and fast tracing method for multiple radiation sources is proposed. The screening method and location method for multiple radiation sources in complex electronic equipment are studied. The independent component analysis (ICA) algorithm is applied to the radiation noise analysis of multiple emitter sources. The mixed radiated EMI noise signals are separated into several independent noise signals, which are used as alternative signals for the source of the radiated noise exceeding the standard. The time-frequency analysis method is applied to the study of radiation noise from multiple radiation sources, and the time-frequency characteristics of each signal are extracted by time-frequency analysis of the separated independent radiated electromagnetic interference noise signal. Thus, the main cause of radiation exceeding the standard is diagnosed. (3) the method is applied to the double common mode model, the double differential mode model and the common difference mode mixed model respectively through three groups of verification experiments. The mixed radiation noise signals are separated and the reason of radiation exceeding the standard is found out, which proves the feasibility of this method. The last two practical cases of complex electronic products verify the effectiveness of the method, find out the cause of radiation exceeding the standard successfully, and take corresponding rectification measures to make the product pass the standard test. The theoretical analysis and experimental results show that the method proposed in this paper can be applied to the traceability of multiple radiation sources of complex electronic equipment, and can locate the radiation sources accurately and quickly, and take corresponding corrective measures. It has important reference and reference significance for the future study of radiation electromagnetic interference and the rectification research of engineers.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TN03

【相似文献】