故障信号

It is avoidless that machines vibrate. Acute vibrating is the primary reason of destroying machines. So detecting vibrating signal may be used to find out machines working condition. At the same time the signal can be analyzed and blooey signal can be found out.

机器的振动是难免的，过大的振动又往往是机器破坏的主要原因，因此，我们通常利用检测设备检测振动信号来监视机械的工作状态，并对信号进行分析处理提取故障信号。

The wavelet analysis can divide signal into different frequency bands and carry out inchoate signal decomposition and extracting.

小波分析能将信号划分到不同频段内，实现微弱故障信号的分离和提取。

The wavelet analysis can divide signals into different frequency bands and realize the in choate signal decomposition and extraction.

摘 要：小波分析能将信号划分到不同频段内，实现微弱故障信号的分离和提取。

The mulitresolution analysis of wavelet can decomposite signal on different Scales.So it has the ability of processing for signal in frequency-band,which is very useful to analysis the details of signal on a given frequency-band,to build up the identification features of signal and to cancel the signal noise.

小波多分辨率分解能够将信号在不同的尺度上展开，因而具有对信号按频带进行处理的能力，这对于分析特定频段上信号的细节，建立表征识别故障信号的特征以及清除信号的干扰与噪声等方面具有十分重要的意义。

Fold in the operation of failure as a description of the cause and location of fault signal display.

折页运行中的故障作为说明原因和位置的故障信号显示。

The paper dissertate unsteady signal feature extraction and fault signal isolation in detail combining theory and application.

本文结合理论和实际应用详细论述了非平稳状态信号特征信息抽取和故障信号分离。

First the power spectrum of fault signals is decomposed by wavelet analysis, which predigests choosing method of fault eigenvectors.

首先对故障信号功率谱进行小波分解，简化了故障特征向量的提取。

First the power spectrum of fault signals were decomposed by wavelet analysis, which predigests choosing method of fault eigenvectors, and then the LSSVM was adopted to diagnose faults.

首先对故障信号功率谱进行小波分解，简化了故障特征向量的提取，然后采用最小二乘支持向量机进行故障诊断。

Measured structural noise and air-borne noise of the model under different condition, as well as picked up and analyze the vibration signal.

6对实验样机进行了不同工况下的结构噪声和空气噪声动态测试，同时进行了该实验样机的故障振动测试，采集了减速器的振动信号，并对故障信号进行了分析。

Besides, by the application of the two kinds of similar Haar wavelet transforms, typical fault signals in power systems are analyzed. It is proved that the two kinds of similar Haar wavelet transforms are very effective methods of the detection of fault signals in power systems.

此外，本文借助于这两种相似Haar小波变换，分析了电力系统几种典型的故障信号，证明了这两种相似小波变换方法对于检测电力系统故障信号是非常有效的。

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。