电子产品的故障分析技术

文中简单介绍电子产品的故障分析技术,着重介绍如何开展故障分析,以确保故障信息的正确性和完整性,达到改进产品质量的目的。     

基于TOP Switch Ⅱ的开关电源设计

介绍以TOP227Y为核心制作实验反激式稳压电源的工作原理,通过TL431与光耦PC817闭环反馈来控制TOP控制端电流大小,改变脉冲占空比,使开关电源在负载变化和输入电压变化时能量状态、电路状态的稳定。合理改进变压器设计以及制作工艺,减小开关电源电磁干扰,减小输出电压的纹波含量。     

Synthesis optimization and characterization of multiwalled carbon nanotubes

The unique properties of carbon nanotubes (CNTs) have suggested applications in a variety of fields. Multiwalled nanotubes were synthesized using chemical vapor deposition (CVD) procedures and subsequently characterized. Reaction parameters such as catalyst type and carrier gas flow rate were optimized to produce well-aligned multiwalled nanotubes with lengths between a few microns to several millimeters. Characterization was performed with scanning electron microscopy (SEM), transmission electron microscopy (TEM), x-ray diffraction (XRD), energy dispersive x-ray spectroscopy (EDS), thermo-gravimetric analysis, and Raman spectroscopy, focusing on composition and purity. Results show the synthesis of high-purity nanotubes of several millimeters in length from iron, nickel, cobalt, and titanium carbide catalysts with thermal stability to above 550°C.     

Admission Control Algorithms for Revenue Optimization with QoS Guarantees in Mobile Wireless Networks

We propose and analyze call admission control algorithms integrated with pricing for revenue optimization with QoS guarantees to serve multiple service classes in mobile wireless networks. Traditional admission control algorithms make acceptance decisions for new and handoff calls to satisfy certain QoS constraints such as the dropping probability of handoff calls and the blocking probability of new calls being lower than a pre-specified threshold. We analyze a class of partitioning and threshold-based admission control algorithms that make acceptance/rejection decisions not only to satisfy QoS requirements but also to optimize the revenue of the system by taking prices and arrival/departure information of service calls into account. We show that for a “charge-by-time” pricing scheme, there exist optimal resource allocation settings under which the partitioning and threshold-based admission control algorithms would produce the maximum revenue obtainable by the system without sacrificing QoS requirements. Further, we develop a new hybrid admission control algorithm which outperforms both partitioning and threshold-based admission control algorithms over a wide range of input parameters characterizing the operating environment and service workload conditions. Methods for utilizing of the analysis results for realtime admission control for revenue optimization with QoS guarantees are described with numerical data given to demonstrate the applicability.     

云台山地质的激光诱导击穿光谱研究

利用高能量Nd:YAG脉冲激光器1064nm光束聚焦待测样品表面产生等离子体,并用光谱仪和ICCD来探测其光谱信号.采用激光击穿光谱(LIBS)技术对云台山的泉水、岩石和土壤进行了定性研究.对比分析泉水和纯净水的光谱图,得出泉水中含有Ca和Mg元素.通过比较茱萸峰岩石和潭瀑峡岩石的实验结果,可知两种岩石的成分存在较大差异,潭瀑峡岩石所含成分相对较多.同时还对云台山茱萸峰土壤和中南民族大学附近的土壤进行了对比分析,发现中南民族大学电信学院附近的土壤中含有Zn、Cu、Hg,而在茱萸峰的土壤中发现一种植物生长必需的微量矿质元素Ni.     

基于双相关算法的相角测量研究

在相角测量的相关分析法的基础上,对相关分析法进行了改进,提出了双相关分析法。通过实验,分析算法对相角测量精度的影响。与一般相关分析算法相比,双相关算法降低了采集随机性误差,而且克服了选取参考信号时带来的相位误差,具有测量精度高、抗干扰能力强等优点,借助于通信网络,可以实现电力系统相角的实时测量。     

Non-Invasive Measurement of Brain Neurotransmitter： One Novel Model

Brain sciences require tools that can noninvasively measure the blo-energy of Brain neurotransmitters （BNs）. First we review the key models behind these tools, then to report one novel model OIIWA on otopoint＇s infrared image and wavelet analysis. Based on our model we provide a new investigative tool probe with 10-order wavelet coefficients corresponding to BNs in mHz level fluctuating, at last to select the medicament inducement as validity experiments for verifying the accuracy through the brain window of OIIWA. The data come from 10-subjective confirmed that our model validity be 90%.     

Rotation-Invariant Texture Classification Using Circular Gabor Wavelets Based Local and Global Features

Rotation-invariant texture classification is one of the most challenging problems in computer vision. This paper presents a new and effective method for rotation-invariant texture classification based on the circular Gabor wavelets. The Gabor representation has been shown to be optimal in the sense of minimizing the joint two-dimensional uncertainty in space and frequency. The circular Gabor filter is completely circularly symmetric. So, the circular Gabor wavelets are constructed to decompose an image into multiple scales （subbands） and are rotation invariant. Two group features can be constructed by the mean and variance of the circular Gabor filtered images, and rotation invariant. The experimental results show that the proposed method has comparatively high correct classification rates.     

A blind SNR estimator for digital bandpass signals

A subspace-based blind Signal-to-Noise Ratio （SNR） estimation algorithm for digital bandpass signals in Additive White Gaussian Noise （AWGN） channel is discussed. The lower bounds of the mean and variance of the estimation are derived, and simulations are performed for the commonly used digital bandpass signals, such as MPSK （M=2, 4, 8）, MFSK （M=2, 4） and MQAM （M=16, 64, 128, 256） signals. Theoretical analyses and simulation results indicate that the proposed algorithm is effective even when the SNR is below 0dB. Furthermore, the algorithm can provide a blind estimator in that it needs neither the parameters of the received signals, such as the carrier frequency, symbol rate and modulation scheme, nor the synchronization of the system.     

Analysis of Si/GaAs Bonding Stresses with the FiniteElement Method

在考虑材料热膨胀系数随温度变化后，采用有限元方法结合ANSYS软件对Si/GaAs键合热应力进行了分析，研究了普通应力、轴向应力和剪切力的分布云图和沿界面的分布. 同时提出了新的键合结构以减小热应力的影响，计算结果证明了该结构的有效性.