本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 $ L' J( @1 |, o : y' K4 O/ n: V& L欢迎大家一起研究S变换+ R8 T& c: @7 u" a* A
( ~/ a% l( K- h# V5 MA new approach to voltage sag detection based on wavelet transform.pdf( R9 n: U( c( }1 L1 N$ y" \. B( M
+ `; M& @$ X/ L I% ?; X8 J, T, tAn expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf 9 H1 \% H; S6 j9 E+ P$ I- E . h- F7 \& `$ ~6 ~0 @$ H! N! k4 FDetection and classification of power quality disturbances using S-transform and modular neural network.pdf ' |% @6 R, o4 U7 r( V4 E' C: O- B0 p8 V9 q5 C# c# v' t: @- {
IEEE Recommended Practice for Monitoring Electric Power Quality.pdf " G5 ?5 b) |/ s% w9 C ; J2 _* P* V5 b" E$ a6 Y6 u$ iLocalization of the Complex SpectrumThe S Transform.pdf* O) h" q: g' ~( A
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Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf, }# E7 L1 }4 e0 K8 a
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Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf 6 o4 J+ x& g) U" W R" h8 ?1 {' E& T" s* y K0 X
Rule based system for power quality disturbance classification incorporating S-transform features.pdf% C! r7 P0 S* d# k5 c
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Short duration disturbance classifying based on S-transform maximum similarity.pdf