本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 & }( R8 b5 J/ B+ r) r9 M' q9 s K' F
欢迎大家一起研究S变换 : x/ g" n) [2 ~. n( K1 ]- T8 w8 I9 S2 S5 S; Q+ {
A new approach to voltage sag detection based on wavelet transform.pdf' a6 N# W- a. M, d' `; [; w9 w. [1 P+ v
3 L9 Q& B, C1 z$ AAn expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf% d& j; z# K) P7 k
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Detection and classification of power quality disturbances using S-transform and modular neural network.pdf/ r j6 E7 v7 L4 O: u
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IEEE Recommended Practice for Monitoring Electric Power Quality.pdf& ^2 U3 H i) z3 K) M3 v) H$ x
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Localization of the Complex SpectrumThe S Transform.pdf! q3 H5 ^ O, p* a8 @; J: G- { j
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Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf. m" d$ D& B; E& Z& Q$ f
' |1 F7 g2 Y: G" [ S0 Z) P6 vPower quality disturbance classification utilizing S-transform and binary feature matrix method.pdf % m. [+ v, z& w+ V9 ?# m/ c# e4 E+ ] & a# |8 t0 I* ^# `% @; HRule based system for power quality disturbance classification incorporating S-transform features.pdf 2 y" Q% V- ^4 P% g; R7 X- Q3 p6 K& J4 X- Z9 X; i$ |
Short duration disturbance classifying based on S-transform maximum similarity.pdf