故障特征
- 网络Fault characteristics;fault signature;failure symptom
-
最终成功提取出若干能最大限度反映故障特征的特征值,作为神经网络的输入。
At last several eigen values which can Maximum reflect fault signature are successfully picked up , as the input of neural network .
-
利用信息论中自信息和熵的概念,给出了故障特征信息量的定义,介绍了故障特征信息量的计算方法。
The fault signature information content is defined using the concepts of self-information and entropy in the information theory , and the algorithm of the fault signature information content is presented .
-
SF6电气设备故障特征气体快速检测方法
Fast Examination Method of Breakdown Characteristic Gases for SF_6 Electrical Equipment
-
一种是基于Hilbert边际谱的故障特征频率提取的故障诊断方法。
One method is the extraction of fault feature frequency based on Hilbert margin spectrum .
-
基于Bootstrap方法构造故障特征库的研究
Research of Constructing Knowledge Base Based on Bootstrap Method
-
基于SVD方法的弱故障特征提取方法
A New Method for Extracting the Weak Fault Symptoms of Current Signal via SVD
-
基于CCA和SOFM的轴承故障特征提取
Fault Feature Extraction of Bearings Based on CCA and SOFM
-
对每一个IMF分量建立AR模型,取模型的自回归参数和残差的方差作为故障特征向量,并以此作为输入来建立支持向量机分类器,判断转子系统的工作状态和故障类型。
Then , the support vector machines used as fault classifiers are established to identify the condition and fault pattern of the rotor system .
-
阻性泄漏电流基波和3次分量是反映MOA劣化现象的两个故障特征量,仿真分析对此问题及间谐波电压对阻性泄漏电流的影响。
Resistive first-harmonic current and third-harmonic current are the two fault eigenvectors reflecting MOA 's aging phenomenon .
-
该方法使用EMD分离高频调制信号,然后利用基于峭度的自适应形态滤波器进行解调,提取非平稳信号故障特征。
The high frequency modulation signal was separated by using EMD , and it was demodulated by kurtosis-based morphological filtering . Finally , fault features of non-stationary signals were extracted .
-
研究了基于短时AR分析、小波多分辨率分析和小波包分析的故障特征提取和识别方法,分析了柴油机气缸盖振动信号特征提取方法。
This paper studied the trouble characteristic extraction and identification methods based on snatch AR analysis , wavelet many resolutions analysis and wavelet packet analysis , and analyzed vibration signal characteristic extraction method for diesel engine cylinder head .
-
最后对实验的数据采用了1(1/2)维谱与小波分析相结合的方法进行故障特征提取,BP网络识别的结果表明,采用这种方法进行滚动轴承故障诊断,结果准确。
Finally , 1 ( 1 / 2 ) dimension spectrum combine with wavelet packets are be used to extract fault feature of rolling bearing . The results of BP network show that this method accurate and reliable in rolling bearing fault diagnosis .
-
提出了一种以扩展Park矢量方法为故障特征提取手段、利用BP网络的模式识别功能自动诊断异步电机转子断条故障的新方法。
A new method for automatically diagnosing broken-bar fault of rotor of asynchronous motor was proposed in the paper , which taking extended Park 's vector approach to pick up the fault ( characte ) - ( ristics ) and using BP network to recognize the mode of fault .
-
不断观察模型的平方预测误差(SPE),一旦发现异常,利用主元分析方法,求出当前数据的特征方向,并与故障特征方向库进行比较,从而诊断出故障来。
Squared Prediction Error ( SPE ) of model is detected continuously , in case abnormity is found , currently data direction is calculated by PCA method , and compared with fault character direction storeroom , thereby fault is diagnosed .
-
这种方法中,局部损伤滚动轴承产生的高频调幅信号成分被EMD分解作为本征模函数分离出来,然后用Hilbert变换得到其包络信号,计算包络谱,就能够提取滚动轴承故障特征频率。
In this approach , the characteristic high-frequency signal with amplitude modulation of a rolling bearing with local damage is separated from the mechanical vibration signal as an Intrinsic Mode Function ( IMF ) by using EMD , and an envelope signal can be obtained by using Hilbert transform .
-
不同使用因素对HC排放影响显著性不同,并且同一使用因素对HC排放影响在不同的工况下表现程度也有所不一致,即存在故障特征工况。
At the same time , the result showed that HC always changed with the same use factor to different extents in different working conditions , that is to say , there was fault-characteristic working condition caused by the effects of use factors on HC and CO exhaust of engine .
-
重点讨论了DDVS与Volterra级数的关系,分析了DDVS在参数估计中的数值稳定性和故障特征聚类性;提出了基于DDVS参数估计的故障特征提取方法。
Discussion has been done on relationship between DDVS and Volterra series , and DDVS stability in parameter estimation and fault information capability have been analyzed . Then fault characteristics extracting method based on DDVS parameter estimation was represented .
-
自适应冗余第2代小波设计及齿轮箱故障特征提取
Adaptive Redundant Second Generation Wavelet Design and Gearbox Fault Feature Extraction
-
小波包分析法在加速度计模数转换电路故障特征提取中的应用
Fault Character Extraction in Accelerometer ADC Circuit Using Wavelet Packet Analysis
-
输电线路暂态电压行波的故障特征及其小波分析
Fault Characteristics and Wavelets Analysis of the Transient Voltage Travelling Waves
-
机械故障特征提取分析及其维修决策
Extraction and Analysis of Mechanical Faults Features and Its Maintenance Decision
-
基于提升方法的小波构造及早期故障特征提取
Wavelet Construction Based on Lifting Scheme and Incipient Fault Feature Extraction
-
核函数主元分析及其在故障特征提取中的应用
Kernel Principal Component Analysis and Its Application to Fault Feature Extraction
-
基于数学形态滤波的齿轮故障特征提取方法
Approach to extracting gear fault feature based on mathematical morphological filtering
-
雷击电视机故障特征初探
Discussion on the Common Breakdown Features of the Thunderstruck TV Set
-
发动机转子系统早期故障特征提取方法
Approach in early fault features extraction of aero-engine rotor system
-
电机故障特征值的倍频小波分析
Multiple bandwidth wavelet analysis for fault diagnosis eigenvalue in squirrel-cage induction motor
-
大型旋转机械振动现场测试与故障特征分析
Vibration Measurement and Fault Analysis of Large Scale Rotating Machinery
-
粗糙主成分分析在齿轮故障特征提取中的应用
Rough Principal Component Analysis and Its Application on Feature Extraction for Gears
-
树型分支电网断线故障特征
The Fault Feature of Line Break for Radial Distribution Line