本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 |3 S. B* \1 E1 g/ e P( {- D& Q+ p; P8 S+ i; P) ~
欢迎大家一起研究S变换 - _' z9 b* E& L, {; \; ^! V* i9 d& d0 s5 i
A new approach to voltage sag detection based on wavelet transform.pdf; `& h* M( }+ c# ]" N0 e* M
. {4 }- T) v( y) v' K- i
An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf7 B& w$ q+ T- R- \3 k, v
+ t9 A* X6 A9 @" ?2 v l# H% N
Detection and classification of power quality disturbances using S-transform and modular neural network.pdf # y! ], d, Z0 o0 x* J * O# j, H; C5 h& q0 r0 EIEEE Recommended Practice for Monitoring Electric Power Quality.pdf7 ?1 h3 B8 h6 u) \7 _* v0 @& {
! `2 u( O5 q6 O- l5 o% lLocalization of the Complex SpectrumThe S Transform.pdf1 ~ P- I; ^9 Z+ w9 M
2 _9 f* W0 d4 @& u& E
Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf 4 u/ H5 M! W7 ?0 v m9 F: M) S6 cPower quality disturbance classification utilizing S-transform and binary feature matrix method.pdf( s9 [8 G$ x ?# @- h/ n1 s
r, q% i& U5 A$ `: mRule based system for power quality disturbance classification incorporating S-transform features.pdf% H. c/ }* T* L+ w+ E6 b
% y8 w$ n! r6 ?& H8 \8 {
Short duration disturbance classifying based on S-transform maximum similarity.pdf
赣公网安备36040302000210号 )|网站地图
狗仔卡
发表于 2010-5-11 16:15:00
提升卡
置顶卡
沉默卡
喧嚣卡
变色卡
显身卡