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expertsystem
- 一篇关于基于S变换实现电能质量自动分类的专家系统实现的外文文献-Article on the S transform based automatic classification of power quality of foreign language literature expert system
sum1all
- 一个毕业程序设计，是用小波和支持向量机对电能质量扰动的识别与分类，主要利用的能量特征。-A graduate program design is the use of wavelet and support vector machines for power quality disturbance recognition and classification, the main characteristics of energy use.
Detectionandclassification
- 一篇关于电能质量问题及其检测分类方法的外文文献，大家可以参考一下-Article on the detection of power quality problems and their classification of documents in foreign languages, we can refer to
A-fuzzy-expert-system
- 本文提出了一种自动检测和电能质量扰动分类模糊专家系统。有关干扰的类型包括电压骤降，骤升，中断，切换瞬变，冲动，闪烁，谐波和缺口。据推测，在所分析的波形采样的形式提供。傅立叶变换和小波分析，利用独特的功能获得的波形一个模糊专家系统为主体的决定有关的干扰类型而设计的。仿真研究，验证了该方法的比较研究人工神经网络为基础的分类方法和该方法研究的准确性也报告，以显示该方法的优点-This paper presents a fuzzy-expert system for automated detectio
sum1all
- 基于小波和支持向量机的电能质量监测分类算法例程-Based on wavelet and support vector machine classification algorithm routine power quality monitoring
Pqd_My_v11
- 电能质量检测平台仿真测试软件，用于验证各种检测算法的有效性，其中涉及小波变换，S变换，二叉树结构的支持向量机分类算法。-Power quality detection platform simulation test software used to verify the validity of the detection algorithm, which involves the wavelet transform, S transform and support vector machine
pq_pcasvm
- 使用小波能量差提取信号，PCA降维，SVM对电能质量扰动分类。-Extract the signal using the wavelet energy difference between the PCA dimensionality reduction, SVM classification of power quality disturbances.
diannengzhil
- 暂态电能质量扰动信号的内在特征，采用小波变换提取扰动的时间特征，将扰动进行分类。-Inherent characteristics of transient power quality disturbance signals using wavelet transform to extract disturbance characteristics, the disturbance classification.
PQsignal_class
- 利用python对电能质量的故障进行分类(power quality classification)
KQSQH
- 一个毕业程序设计,是用小波和支持向量机对电能质量扰动的识别与分类,主要利用的能量特征,()
RSXYV
- 一个毕业程序设计,是用小波和支持向量机对电能质量扰动的识别与分类,主要利用的能量特征,()