本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 8 I! I6 a) X p! Q# u$ {8 {
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欢迎大家一起研究S变换 5 w' o8 F- \# P; p ! M- G0 K2 g! b7 g nA new approach to voltage sag detection based on wavelet transform.pdf; \3 h5 j% O! j: [& N" r! c' `
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An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf+ J: N+ e- c9 P! S
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Detection and classification of power quality disturbances using S-transform and modular neural network.pdf* f# N* M% g! Z/ w3 H0 J( a
( Z6 G8 ^# q+ X c+ TIEEE Recommended Practice for Monitoring Electric Power Quality.pdf 8 j0 e# V2 g: U' o a+ H " o0 ~: X" `) ?& m$ j7 O# uLocalization of the Complex SpectrumThe S Transform.pdf / n; L2 G2 m' e5 y% `' H ) s( B* a, R* H$ N8 A' Z' B& bPattern recognition of power signal disturbances using S Transform and TT Transfom.pdf+ @. N" ?2 y2 a* R
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Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf0 l I6 S( F7 `4 i8 V
6 N! s; r/ |% I# V, w" ARule based system for power quality disturbance classification incorporating S-transform features.pdf : U1 K1 u( A4 i; F- B ; G2 Y- S# c& z( jShort duration disturbance classifying based on S-transform maximum similarity.pdf