本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 5 K: N, c) y, e * Z4 v6 \- W4 l5 H" R欢迎大家一起研究S变换 4 [" c% D2 Y0 e( C. y( }* _/ P% v& _ " |2 m( a3 |6 V3 t, @A new approach to voltage sag detection based on wavelet transform.pdf/ w2 Q. N# {5 c! I7 d; V) b
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An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf7 w5 w1 e) V/ P( p) m# {$ M
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Detection and classification of power quality disturbances using S-transform and modular neural network.pdf * O2 e( B! ^' c! B5 \/ ` * p3 y9 [. z5 V2 zIEEE Recommended Practice for Monitoring Electric Power Quality.pdf , c( l* W( W, V6 N+ i0 E * o& p9 X% c! z! ^Localization of the Complex SpectrumThe S Transform.pdf2 Q. U {* l2 e" [; M( ?: O, B! h2 h
4 E J$ e! i( d8 nPattern recognition of power signal disturbances using S Transform and TT Transfom.pdf! H/ C! ]" c: h7 N/ k
( M1 _# a# I1 ?! J6 B2 J! ePower quality disturbance classification utilizing S-transform and binary feature matrix method.pdf6 E4 ^: e3 e( J( K* c8 H# J
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Rule based system for power quality disturbance classification incorporating S-transform features.pdf 1 P# }' f$ H% Y( s# ?/ ^6 S" `* I) V* K
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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