故障信号

Decomposition to plane circuitry's pin, then aborative go along transmit and insulate inspect, eliminate circuitry malfunction. Aborative analyze to design circuitry, find out join circuitry of flap electric operation system with undercarriage control and beaconage's join circuitry existed circumfluence phenomena. Bring about when undercarriage control signal system electrify inspect, under flap system are not power supply, current from undercarriage signal breaker come by undercarriage signal box, to flap system's flap control box, flap electromagnetism clique form loop. Lead to the flap put down under flap system are not power supply. Design principium existing serious limitation, put forward ameliorate project.

通过对机上线路的插头进行分解，进行导通和绝缘检测，排除了机上线路故障；通过对设计线路进行分析，发现在襟翼电气操纵系统与起落架收放操纵及信号系统的交联线路存在回流现象，致使在起落架收放操纵及信号系统通电检查时，襟翼系统不供电的情况下，电流从起落架信号断路器经过起落架信号盒，到襟翼系统的襟翼控制盒、襟翼电磁阀形成回路，导致襟翼在不给电的情况下被放下，设计原理存在严重的缺陷，提出了改进方案。

Such characteristic vector can be applied to further signal processing and fault diagnosis of high current LIA.

应用小波变换具有良好的时频局部特性，通过对强流直线感应加速器脉冲信号的去噪声、信号突变点检测以及时间间隔测量等处理，表明小波变换在LIA信号处理中有广泛的应用前景；利用小波包分析的每个节点都代表了对应频带的信号特征的特点，对"神龙一号"快脉冲波形数据进行小波包变换，以各频带信号能量为元素构造特征向量，实现了高维波形数据的特征值提取，达到了数据压缩和降维的目的，为进一步实现LIA故障智能诊断、预测维护提供了一种可行的途径。

This approach is a combination of signal analysis and mathematical model .By the denoising function of wavelet and the learning itself function of neural network , the input and output nonlinear dynamic characteristic of system is obtained . The output prediction error, generated from the real output and wavelet neural networks estimated output, is used as a residual error to execute logical judge. and this approach can improve the speed and accuracy rate of fault detection.

它是一种把信号分析和数学模型相结合的故障检测方法，通过小波对信号的去噪和神经网络的自学习功能，来获取系统输入输出的非线性动力学特性，进而实时计算出残差并进行逻辑判决，可提高故障检测的速度和准确率。

Use the data of circuit breaker on-line working conditon monitoring of ShaoXing Power Bureau, applicate wavelet analysis theory and all kinds of signal dispoing methods, focus on vibration signal and winding electric current wave, at last, provide the fault diagnose result of circuit breaker, and build circuit breakers standard finger library and fault finger library.

利用绍兴电力局提供的断路器在线监测数据，应用小波分析理论和各种信号处理方法，重点分析振动信号与线圈电流波形，给出断路器的故障诊断结果，并建立起断路器的正常指纹库和故障指纹库。

The multi-dimensional signals measured by sensors with a machine working under normal condition or fault condition, can be used to build Q statistic and T^2 statistic respectively to detect the state of the machine. Meanwhile, the feature vector is constructed by the Q value and the T^2 value, the geometrical distance between the normal feature vector and the feature vector H when the machine goes wrong is used to realize the fault location. The results show that the method is feasible.

利用多个传感器测量的异步电机多维信号参量，构建电机在正常工作和发生故障时的Q统计和T^2统计，以实现电机的状态检测；利用Q统计和T^2统计值构建电机的状态特征向量，通过比较度量当前电机的特征向量与电机发生故障时的特征向量H的几何距离来实现电机故障的定位与分离实验证明，该方法可以有效地实现故障的诊断与分离。

The Goto function, failure function and output function are established and the model achieves fast and exact fault diagnosis by using dendriform finite state automata.

通过对实际的机车信号检测记录仪记录的数据进行故障诊断实验，表明该模型在机车信号故障诊断中的有效性。

The spectrum is achieved from the locale vibration signal applying Local Wave Method, on which the state-feature table of the system is established. Then the feature group with the maximum of fault information is worked out, the fuzzy tree is established sequently.

对往复压缩机振动信号进行局域波时频处理，得到包含故障状态值的局域波时频谱，结合系统工况资料建立系统故障状态一特征表，找出最大故障信息量的特征群，建成故障信息量的模糊二元树。

The adaptive filter approach, the Park transform approach,the Hilbert transform approach and the instantaneous power approach are usually utilized to detect the rotor bar breaking fault on-1ine.

针对异步电动机轴承故障，本文就基于振动信号分析和定子电流信号分析的轴承故障检测方法分别进行了讨论。

This article analyzes systematically the work process of fuel injection system in detail. It analyzes the fault fundamentals and its influence of three coupling parts in the high pressure oil road and the injection process, three coupling parts include plunger coupling parts, delivery valve coupling parts and needle valve coupling parts. It discusses the pulse situation of fuel pressure under the every kind of typical fault model, and regarding this as according to pick up the pulse signal of pressure from the high pressure pipeline, and process wavelet decomposition, picks up the of parameter fault, make use of the model identification technique, realizes to the intelligent diagnosis of fuel injection system fault.

文中系统地分析了燃油系统的工作过程，对高压油路中三偶件(柱塞偶件、出油阀偶件、针阀偶件)、喷油过程等的故障机理及其影响进行了分析，讨论了各种典型故障状态下的燃油压力波动情况，并以此为根据，从高压油管处提取压力波动信号，提取故障参数，利用模式识别技术，实现了对燃油系统故障的智能化诊断。

GOOSE message field of the main transmission of the tripping relay,switch,start,closed,allowing real-time signal,these signals correctly,quickly shows that the power system failure and abnormal working condition,is the main basis to protect the logical removal of a failure component.

GOOSE报文主要传输继电保护领域中的跳闸、合闸、启动、闭锁、允许等实时信号，这些信号能正确、快速地反映电力系统故障和异常工作状态，是保护逻辑切除故障元件的主要依据。

Cynanchum Lingtai apricot production in the average weight 65 grams, the brightly-colored fruit, juicy rich, sweet-sour taste, sweet from the nucleolus, when the late Qing Dynasty famous Shaanxi, Gansu provinces, the Qing imperial court Tongzhi tribute for years.

灵台生产的牛心杏平均单果重65克，果实色泽鲜艳，汁多味浓，甜酸适口，离核仁甜，清末时就驰名陕、甘两省，清同治年间曾为朝廷贡品。

Chenopodium album,Solanum nigrum, and Amaranthus retroflexus were very susceptible to the herbicides. Polygonum persicaria and Abutilon theophrasti were relatively less susceptible to the herbicides, and Lycopersicon esculentum was not susceptible to it. The relationship between reduction rates of weed biomass and PPM values of weed leaves 2,4, and 6 days after treatment was established.

供试的6种杂草对该混剂的敏感性存在显著差异：红心藜Chenopodium album、龙葵Solanum nigrum和反枝苋Amaranthus retroflexus对该混剂最敏感，ED90值分别为47.65、71.67和29.17g/hm2；春蓼Polygonum persicaria和苘麻Abutilon theophrasti敏感，ED90值分别为96.91、114.20g/hm2；而番茄不敏感。