Hardware Realization Of Fuzzy Wavelets Neural Network To Power Quality Analysis
This thesis presents a new approach aimed at automating the analysis of power quality disturbances. The approach focuses on the application of discrete wavelet transform technique to extract features from disturbance waveforms and their classification using a powerful combination of neural network a...
محفوظ في:
المؤلف الرئيسي: | Choong, Florence Chiao Mei |
---|---|
التنسيق: | أطروحة |
منشور في: |
2005
|
الموضوعات: | |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Power quality events analysis using wavelet transform
بواسطة: Rufus, Shirley
منشور في: (2012) -
Detection of voltage disturbances in power quality using wavelet transforms
بواسطة: Ramlee, Nor Asrina
منشور في: (2012) -
Hardware Implementation Of 2-D Discrete Wavelet Transform For JPEG 2000 Using Lifting Scheme
بواسطة: Bhuyan, Mohammad Shaharia
منشور في: (2008) -
Hardware Implementation Of Artificial Neural Network On FPGA For Sulfate-Reducing Bacteria
بواسطة: Tan, Earn Tzeh
منشور في: (2014) -
Stochastic computing system hardware design for convolutional neural networks optimized for accuracy area and energy efficiency
بواسطة: Hamdan, Hamdan Usamah
منشور في: (2020)