1) wavelet energy statistics
小波能量统计
1.
Based on the wavelet energy statistics,two auxiliary parameters are defined as the criteria for the identification;four thresholds are then set to distinguish between different faults.
将小波变换应用于高压直流输电系统换相失败的故障诊断中,基于多分辨率分析分别对不同故障情况下的直流电压、直流电流、交流电压和交流电流等暂态信号进行分解,提取每一层的特征;根据各层小波能量统计,定义2个故障诊断指标作为辨识各种故障的判据,并针对这2个指标分别设置4个阈值以诊断直流线路故障和不同原因引起的换相失败故障。
2) wavelet energy
小波能量
1.
The electromechanical equipment state detection based on the wavelet energy is used.
讨论了交—交变频调速系统故障诊断的重要性,在当前的检测方法与故障诊断手段研究的基础上,提出了基于DSP和小波分析的变频调速系统故障诊断方法,建立了故障诊断系统;采用了基于小波能量的机电设备状态检测方法,充分利用了DSP强大的数据处理功能,以及小波分析所具有的对非平稳信号的分析处理能力和多分辨力的特性;建立了交—交变频调速系统的数学模型。
2.
The traditional method of wavelet energy is improved as WE2.
针对小波变换的特点,对传统的小波能量法进行改进。
3.
The electromechanical equipment state detection method based on wavelet energy and wavelet singularity detection are presented in this paper.
提出了基于小波能量的机电设备状态检测及小波奇异性检测方法,分析小波变换在故障诊断中的各种应用及实现方法,使小波分析能适应不同特点的机电设备及测试信号的处理要求,该系统在机电设备故障诊断中得到很好的应用。
3) energy statistic
能量统计
1.
After analyzing and comparing flow rate detecting method,pressure grade detecting method,and negative pressure wave detecting method,water leaking point locating was implemented with negative pressure wave detecting method and locating formulas combining with energy statistical algorithm.
研究了管道泄漏负压波信号的产生机理、信号传播规律,在对比分析了流量检测法、压力梯度法、负压波检测法的基础上,最终确定以负压波检测法及定位公式结合能量统计算法,实现漏水点定位。
5) wavelet energy spectrum
小波能量谱
1.
To identify two transient signals,this paper presents a wavelet energy spectrum and neural network method based on algorithm to distinguish lightning strike and fault on transmission line.
现有行波测距装置可以同时对线路雷击和普通短路故障进行检测与定位,但其不能将两者区分开来,为此提出了一种基于小波能量谱和神经网络理论的输电线路雷击与短路故障的识别方法。
2.
In this paper,Multi-resolution analysis and Wavelet Energy spectrum are used to analyze the signals of differential voltage and circular current when the rotor windings are faulty,using wavelet packet to reduce noise of signals.
本文将小波多分辨率分析与小波能量谱分析运用到发电机转子发生匝间短路时在定子并联支路产生的电压差与环流信号的分析中,并对信号进行了小波包软阈值去噪。
3.
This paper employs actual wireless data drawn from well known archives of network traffic traces and analyzes second-order scaling properties of aggregate WLAN by using the wavelet energy spectrum.
应用小波能量谱方法对真实的无线局域网聚集业务流的二阶尺度特性进行分析,实验结果表明大部分上行和下行的混合业务聚集流在小时间尺度上的二阶尺度指数接近0。
6) wavelet packet energy
小波包能量
1.
A novel speech enhancement method based on wavelet packet energy in strong noise background
强噪声条件下基于小波包能量的语音增强新算法
2.
Gear fault classification based on Gaussian mixture model and wavelet packet energy
高斯混合模型与小波包能量相结合的齿轮故障分类
3.
The pressure signals of normal and abnormal combustion were decomposed by wavelet packet and the wavelet packet energy was extracted.
对氢发动机正常燃烧和异常燃烧压力信号进行了小波包分解,提取出小波包能量。
补充资料：分布和特征量统计(见统计分析)
分布和特征量统计(见统计分析)
fenbu he tezhengliang tongjj分布和特征量统计见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条