本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 8 T8 N( m0 ^4 H, E/ K
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欢迎大家一起研究S变换 8 m( t, u3 H$ \8 C4 H( Y( D6 u n ' o' X0 o! y0 T3 s* `A new approach to voltage sag detection based on wavelet transform.pdf: Y7 R; R( O2 b3 T0 f6 Q/ p
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An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf ! y2 b' J5 Z ~, z) s$ z: s # M; p: f7 ]+ i# ~' l( M4 X) X5 NDetection and classification of power quality disturbances using S-transform and modular neural network.pdf ( `' F; {( s; t9 q! |% I/ p7 w
IEEE Recommended Practice for Monitoring Electric Power Quality.pdf6 j; ?# q# U8 n/ ^! |" I1 U
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Localization of the Complex SpectrumThe S Transform.pdf$ N2 E! l2 L m$ W
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Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf% c+ E1 c2 x z. z) W
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Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf + ?+ Q" h& e8 ?. a$ O7 `: |6 ~6 e* n* C: `* a l- t
Rule based system for power quality disturbance classification incorporating S-transform features.pdf ; a' C, c9 V4 E; e0 l/ G/ j2 t1 K, k: U9 x& U+ b7 p9 Q$ T0 _
Short duration disturbance classifying based on S-transform maximum similarity.pdf
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发表于 2010-5-11 16:15:00
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