详细分析了固定故障所反映出的状态变换特征，提出状态变换故障模型以及相对应的测试生成压缩方法；
This paper describes state transition fault and collapsing of test generation basis of the character of fixed fault.
采用改进的算法针对二进制方法点乘的椭圆曲线密码进行了符号变换故障攻击，利用仿真实验进行了验证。
Using the improved algorithm, we present the attack on elliptic curve cryptosystems with binary scalar multiplication, and verify it through software simulation.
这种方法由于采用了模式变换，避免了传统行波方法中存在的受故障起始角的影响的问题。
Because the method utilizes modal transform, the problem of fault inception Angle can be avoided, which occurs in almost all conventional methods.
复值小波变换能准确分辨出信号中所包含的幅值信息和相位信息，因而，适用于电力系统的故障信号的检测。
Because complex wavelet transforms can exactly identify amplitude and phase information in signal to be dealt with, they are suitable for detection of fault signals in power system.
利用线模电流的小波变换系数进行测距，不仅不受故障电阻的影响，也不受故障起始角的影响。
The location result is not influenced by fault resistance and inception Angle when wavelet transform coefficient of aerial mode current is used in fault location.
该方法首先利用小波变换和主成分分析对故障信号进行预处理，然后用处理后的故障特征数据对小波神经网络进行训练和测试。
The method uses wavelet transform and principle component analysis to preprocess fault signal, afterward training and testing wavelet neural network with the preprocessed fault characteristic data.
小波分析(或称小波变换)是一种新的时频分析方法，它具有良好的时频局部化特性，适用于电力系统故障分析。
Wavelet analysis, also called wavelet transform, is a new analysis method with good time frequency localization characteristic, so it is suitable for fault analysis of power system.
提出了一种结合经验模态分解（EMD）和自适应短时傅里叶变换（STFT）的铁路货车滚动轴承故障诊断方法。
In this paper, a freight car rolling element bearings fault diagnosis method based on Empirical Mode Decomposition(EMD) and adaptive short_time Fourier transform(STFT) is proposed.
对于转子断条故障，详细介绍了一种新的基于希尔伯特变换与数字滤波的在线监测方法。
Finally, this paper studies thoroughly a novel approach to detect rotor bar breaking fault, which is based on the perfect combination of the Hilbert Transform and digital filter.
提出了基于双PQ变换的感应电机转子故障诊断新方法。
A new rotor faults diagnosis method for induction motors based on the double PQ transformation is presented.
应用瞬时值对称分量变换，可提取电压、电流故障分量的正序空间向量。
The transformation of the instantaneous value symmetry component applied, the positive sequence space vector of fault component of the voltage and current can be derived.
小波变换具有良好的时频局部性，具有变焦距的特点，对故障信号中的奇异点能够准确识别，是论文中应用的主要分析方法。
Having good time-frequency localization character, and correctly identifying singularity point in fault signal, Wavelet is the main analysis method in this paper.
即使在故障期间，变换器也没有引起输出电流过载。
Even during such a malfunction, the converter continues to operate without causing overcurrents in the output current.
从故障反应能力、对各类故障的灵敏度以及采用多模量时检测故障的冗余度等方面对各变换阵进行了分析比较。
Analysis and comparisons are made for those transformations according to the sensitivity and redundancy to all types of fault.
针对风机的振动故障原因进行了分析，并简要介绍了目前风机振动的检测方法的现状，对应用较多与检测变换方法作了说明，总结了各自的特点。
This paper is aimed at the breakdown causing the air-blower vibration and gives a brief introduction on the current ways to check the troubles, It also illustrates the feature of each method.
基于小波变换的分析方法，提出了基于定子三相电流之间相位对称度检测的定子绕组匝间短路故障在线检测新方法。
Based on wavelet transform, a novel on-line detection method is presented, which is based on the detection of symmetry degree among the stator three-phase line currents phases.
使用矩阵运算代替对称分量法的传统序网故障变换，以实现不对称短路故障计算，并给出常见故障对应的参数矩阵。
Calculation formulas are proposed with matrices calculation to deal with unsymmetrical faults and parameter matrices for various faults are listed.
小波变换作为新的数学分支，在这里用来提取电流行波信号中的故障信息，实现原理方案。
Wavelet transform was proved to be a suitable tool for the analysis of travelling waves and is utilized here to extract fault information from current travelling waves and implement protection scheme.
两次变换真在线式设计，配合静态旁路开关，具备完善的过载和故障保护功能。
Complete power protection by an on-line double conversion design incorporating an automatic static bypass from overload and fault conditions.
小波变换在电力系统的故障信号处理中得到广泛地应用，然而，小波变换只能消除白色噪声，对有色噪声不起作用。
Although wavelet transforms (WTs) are being used to process fault signals of power system widely. Wavelet transforms can only filter white noises and are useless to filter colored noises.
该方法利用小波变换分析所采集的故障暂态信号，提取用于选线的暂态信息，并采用综合相位比较法确定故障线路。
In this method the transient fault signals are analyzed with wavelets transform to obtain the transient fault information, and the fault circuit is selected by the synthetic phase comparison method.
应用小波变换理论提出了一种信号突变征兆提取方法，并将它应用于转台故障诊断中。
A method of signal mutative symptom extraction is presented, in which the theory of wavelet transform is applied. Moreover, this method is used in fault diagnosis of test turntables.
本文讨论了小波变换及小波变换的奇异性检测理论，并将其应用于暂态行波故障特征的分析。
The paper discuss the singularity detection theory of wavelet transform, this theory is applied to analysis of fault characteristics of the transient traveling waves.
利用小波变换检测突变信号的原理，可以在电力系统故障发生的瞬间快速检测出电流或电压突变信号。
According to the theory of testing abrupt signals with wavelet transformation, the abrupt signals of current and voltage can be quickly detected when power system faults occur.
针对油田抽油机井故障诊断方法较落后和故障信息采集不充分的问题，提出一种小波变换基神经网络故障诊断系统。
Aiming at the questions of pump-jack fault diagnosis method backward and diagnosis information lack of, it is proposed a kind of wavelet transform based neural network fault diagnosis system.
本文介绍网络的系统变换法及其在三相-两相变电所故障解析中的应用。
This paper presents a systematic transformation method and its application in the fault analysis of a 3-phase -2-phase transformer station.
提出一种基于小波变换与BP神经网络相结合的方法来实现小电流接地系统单相接地故障定位。
In this paper, the method based on the combination of wavelet transform and BP neural network is presented to realize fault location for the single-phase-to-earth fault in non-direct-ground systems.
通过分析时序电路固定故障的状态变换，提出基于状态隐含变换的测试方法。
Based on the stuck-at fault analysis, state test generation for synchronous circuits is presented.
本文介绍网络的系统变换法及其在牵引变电所故障解析中的应用。
This paper presents a systematic transformation for power supply networks on electric railways. Its applications to fault analysis for traction substations are presented.
介绍了希尔伯特黄变换算法的原理及流程，利用由希尔伯特谱反映出的丰富的物理信息来对齿轮进行故障诊断。
This paper explains the theory and algorithm of the HHT. It employs the plenty of information of gear embodied in Hilbert spectrum for fault diagnosis.
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