一类SPN结构密码设备的故障注入攻击技术

提出了一种有效的故障注入攻击技术,能够攻击一类使用特定结构SPN密码的设备．这种攻击方法基于字节错误模型,仅需要少量故障密文即可攻破一类具有特定置换层的SPN密码算法．分析给出了故障和特定置换层如何导致秘密信息泄露的原因．同时,对于具体的密码算法ARIA和PRESENT进行了攻击实例．     

基于故障树分析的汽车防盗系统故障诊断研究

应用故障树分析法对汽车防盗系统不解除故障进行研究,建立了模块不工作、钥匙不工作、线路故障和启动装置按钮不工作的故障树模型。以迈腾B8装备的第五代防盗系统故障为例,进行故障分析和排查,结果表明该方法能够快速查找分析故障原因,提高效率,可为汽车防盗系统的故障诊断提供参考依据。     

二维联合模糊的液压系统故障诊断专家系统

提出了基于二维联合模糊评判的液压系统故障在线诊断方法;用MATLAB小波分析与模糊评判相结合的双重故障诊断模式,运用联合权重分配法构建故障诊断专家系统模糊矩阵;采用复杂样本方差估计,得出一个客观合理的故障征兆向量,实现了液压系统故障诊断的实时性,精确性;建立了起重机液压系统故障诊断专家系统。     

A Statistical Parameter Analysis and SVM Based Fault Diagnosis Strategy for Dynamically Tuned Gyroscopes

Gyro's fault diagnosis plays a critical role in inertia navigation systems for higher reliability and precision. A new fault diagnosis strategy based on the statistical parameter analysis (SPA) and support vector machine (SVM) classification model was proposed for dynamically tuned gyroscopes (DTG). The SPA, a kind of time domain analysis approach, was introduced to compute a set of statistical parameters of vibration signal as the state features of DTG, with which the SVM model, a novel learning machine based on statistical learning theory (SLT), was applied and constructed to train and identify the working state of DTG. The experimental results verify that the proposed diagnostic strategy can simply and effectively extract the state features of DTG, and it outperforms the radial-basis function (RBF) neural network based diagnostic method and can more reliably and accurately diagnose the working state of DTG.     

自动变速器动态检验与故障分析

通过对汽车自动变速器进行失速试验、时滞试验、液压试验等动态检验，可以就检验过程中所反映出的问题和相应的故障进行分析与判断，以便及时地对发生的故障予以排除，确保车辆完好的技术状况和安全行驶。     

Differential fault analysis and meet-in-the-middle attack on the block cipher KATAN32

We investigate the lightweight block cipher KATAN family which consists of three variants with 32, 48 and 64-bit block sizes, called KATAN32, KATAN48 and KATAN64 respectively. However, three variants all have the same key length of 80 bits. On the basis of the bit-oriented faulty model and the differential analysis principle, we describe the attack that combines differential fault attack with the meet-in-the-middle (MITM) attack on the KATAN32. More precisely, inducing a fault at a bit, we can recover some linear differential fault equations on the key bits. During solving equations, without the help of computer, we need only algebraic deduction to obtain relations of some key bits. The complexity in this process is neglectable. The secret key of the full cipher can be recovered faster than exhaustive search for all three block sizes in the KATAN family. Our result describes that KATAN32 is vulnerable.     

基于小波网络的船舶柴油机燃油系统故障诊断

采用小波变换和BP神经网络的辅助式结合,通过小波变换提取故障特征向量作为BP神经网络的输入值,设计并组建了小波神经网络;利用小波变换模极大值分析高压油管燃油压力信号的奇异性,提取故障特征向量;根据故障采集数据并建立学习样本,通过网络训练建立BP神经网络输入和输出间良好的非线性映射,进而通过特征向量输入BP神经网络来诊断故障。实验数据分析表明:该方法具有良好的诊断效果。     

Recovery from Wormhole Attack in Mobile Ad Hoc Network （MANET）

Introduction Mobileadhocnetwork(MANET)isaself-organizing,multi-hopwirelessnetwork.Commu-nicationsinadhocnetworkdonotrequireexis-tenceofacentralbasestationorafixednetwork infrastructure.Self-organizingandinfrastruc-turelessnessmakeadhocnetworkeasytobeap-pliedtothoseemergencyenvironmentswherethere isnotbasestationsoraccesspoints.However,on theotherhand,theyalsoopenthenetworktovari-oussecurityattacks.Amongthoseattacksthat havebeendiscoveredsofarinMANET,worm-hole[1]isoneofthemostseriousattack…     

变压器油中故障气体的复合预测方法

为了提高对变压器故障的预测能力，提出了灰色粗预测、自学习神经网络在线修正的复合预测法．此法是利用GM（1，1）模型初步预测油中溶解气体的浓度及变化趋势，通过分析故障气体组分之间的影响及气体浓度时间序列之间的关系确定修正参数，将初步预测结果与修正参数作为自学习BP网络的输入，从而完成预测结果的在线修正．该方法已用于实际变压器油中溶解气体的预测，结果验证了其有效性．     

重型载货汽车柴油机动力不足故障树分析

构建特定故障树对某重型载货汽车柴油机动力不足故障原因进行诊断,通过故障树定性分析,给出发动机动力不足故障的各种可能原因及其组合方式,其中包括人—机—环境等多方面的因素。定性分析所得最小割集,以及各直接原因对顶事件发生影响的重要程度,可以指导维修人员准确快捷地查找顶事件的故障原因并及时排除故障。在给定底事件发生概率的前提下,利用所编程序还可对顶事件的发生概率以及底事件重要度进行定量计算。研究结果有助于进一步提高汽车维修的科技含量和维修质量,同时帮助设计和制造单位采取改进措施,提高发动机的使用可靠性。     

基于光反馈的信号灯故障检测系统研究

针对传统信号控制器的信号灯故障检测不准确的问题而设计的信号灯终端光反馈故障检测系统,主要采用信号灯终端光反馈、光纤传输和光电转换技术,将信号灯的输出状态直接反馈到信号控制器,实现对信号灯故障的可靠检测。通过信号控制器对故障信号进行处理,并利用数字化传送,具有纠错、容错的功能,实现了对信号灯运行状态的准确、可靠检测及控制。     

An Innovative On-Board Computer for Space Robot

In this paper an on-board computer system for the first Chinese Intelligent Space Robotic System was presented. A fault tolerance design on on-board computer （OBC） was proposed that allows commercial-off-the-shelf （COTS） devices to be incorporated into dual processing modules of on-board computer. The processing module is composed of 32-bit ARM RISC processor and other COTS devices. This innovative approach deeply relies on light weight/low cost equipment development using commercial miniaturized parts and non-space qualified technologies. As well as, a set of fault handling mechanisms was implemented in the computer system. The on-board software was organized around a set of processes that communicate between each other through a routing process. The qualification experiment shows that the fault tolerant on-board computer has excellent data processing capability and is enough to meet the demanding of the extremely tight constraints on mass, volume, power consumption and space environmental conditions.     

安全气囊（SRS）故障码的读取与清除

介绍了通用公司、福特公司、丰田公司安全气囊故障码的读取与清除。     

非有效接地系统单相接地故障选线技术研究

在非有效接地系统中,单相接地故障是最常见的故障类型,而由于非有效接地系统自身的特点,使得不管稳态分量还是暂态分量,都容易受到系统本身或随机因素的影响.快速寻找出故障线路有利于保证供电可靠性,因此探索出最有效的故障选线方法一直是学者们的目标.该文总结和归纳了现有的故障选线技术,并对这些技术作出了评价,最后提出了关于未来研...     

Transformer Fault Analysis Based on Bayesian Networks and Importance Measures

Complex environment stresses bring many uncertainties to transformer fault. The Bayesian network(BN) can represent prior knowledge in the form of probability which makes it an effective tool to deal with the uncertain problems. This paper established a BN model for the transformer fault diagnosis with practical operation dataset and expert knowledge. Then importance measures are introduced to indentify the key attributes which affect the results of transformer diagnosis most. Moreover, a strategy was proposed to reduce the number of attribute in transformer fault detection and the resource cost was saved. At last, a diagnosis case of practical transformer was implemented to verify the effectiveness of this method.     

故障树分析在计算机联锁系统中的应用

应用故障树分析方法对计算机联锁系统进行了可靠性的分析,用故障树讨论了其故障的原因与影响的逻辑关系,并提出了进一步的改进措施及建议.     

基于动态PCA的核动力装置传感器故障检测

针对变工况过程中传统主元分析方法的模型不适应问题,通过稳定性因子分析,剔除过渡过程数据,并用模糊聚类方法将不同稳态工况进行分类,利用动态主元模型方法根据工况类型建立不同的主元模型,并将该方法用于核动力装置传感器的故障检测,结果表明该方法能够适应变工况情况下的传感器故障检测,减少了故障的误检,并提高了检测灵敏度．     

基于故障阻抗计算的非同步故障测距新方法

为了解决双端电气量测量非同步产生的故障测距误差问题,提出基于故障阻抗计算的非同步故障测距新方法。该方法采用集中参数短线模型,首先利用双端非同步电气量和线路参数计算故障阻抗,然后基于金属性短路故障阻抗的纯电阻性采用共轭法构造出关于故障距离的一元二次方程,最后求解并判别伪根得到真实故障距离。双端量法测距在原理上克服了故障电阻和系统运行方式变化的影响。仿真与数值计算结果表明提出的新方法可靠有效,能消去非同步角的影响,具有良好的测距精度,适用于各种金属性短路故障类型,工程实际应用价值高。     

基于ANFIS的特高压输电线路故障分类识别方法

提出了一种基于自适应神经模糊推理系统(ANFIS)的特高压输电线路故障分类识别方法,以分类识别10种常见的输电线路故障.该方法以故障后1个工频周期内故障电流分量的标准差和四分位距作为故障分类识别的特征量.分析了噪声和谐波对这2个特征量的影响;建立了基于ANFIS的故障分类识别模型.大量仿真试验表明:提出的故障分类识别方法能快速、准确地识别各类故障,并且不易受故障初始角、故障位置和过渡电阻的影响,对噪声、谐波、电流互感器传变特性及采样频率有良好的适应性,分类识别正确率能达到99.5%.     

用容错控制技术提高微机保护系统的可靠性

在介绍容错控制技术基本理论的基础上,将容错控制技术应用到微机保护系统中,提出微机保护系统中应用容错控制技术的基本准则及常用方法.在分析一些常见故障的容错控制方案的基础上,重点分析了针对微机保护系统传感器故障的容错控制,分析了其故障检测及容错的工作原理.以牵引供电系统的馈线保护为例,介绍了容错控制技术在该保护系统中的应用方法.采用容错控制技术为提高微机保护装置的可靠性提供了一条新的途径.