本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 ! G1 C1 Q0 d6 q9 w6 B, P0 _
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欢迎大家一起研究S变换' }7 k) P0 A% G- `/ B; c
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A new approach to voltage sag detection based on wavelet transform.pdf8 D6 r& `; M! I8 ~; G# s
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An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf ) ?7 x1 x7 B; m1 |; Q6 k3 t+ v( B3 f$ u2 o2 X: x- ]1 y: `
Detection and classification of power quality disturbances using S-transform and modular neural network.pdf 7 l3 r) b+ M. g) |& r0 e6 A) h/ ~& n: t5 [ R" h
IEEE Recommended Practice for Monitoring Electric Power Quality.pdf" A" o8 H, R7 f7 }6 r
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Localization of the Complex SpectrumThe S Transform.pdf t, ?- u) C! }- h 6 Q' x* e" P' L# L! a4 I: ?Pattern recognition of power signal disturbances using S Transform and TT Transfom.pdf + ~# l1 u3 O$ C) i& r% r' B$ Q4 |! G; M
Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf2 D9 ~$ c, `1 V$ ^+ K( M2 O9 y- R, e
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Rule based system for power quality disturbance classification incorporating S-transform features.pdf/ a8 o. n7 ^; Q; J9 c# q7 L# V) v4 X# \
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Short duration disturbance classifying based on S-transform maximum similarity.pdf