Results 21 to 30 of about 517,038 (215)
Applied Sciences, 2020 Bearing fault diagnosis at early stage is very significant to ensure seamless operation of induction motors in industrial environment. The identification and classification of faults helps to undertook maintenance operation in an efficient manner.
Rafia Nishat Toma, Jong-Myon Kim
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A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM
Shock and Vibration, 2021 Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization ...
Yan Lu, Peijiang Li
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Clearing the detail coefficient of 2-D DWT Architecture based on Lifting scheme of 5/3 and 9/7 Filters [PDF]
مجلة التربية والعلم, 1999 In This paper, An efficient architecture for the implementation of two dimensional discrete wavelet transform based on lifting scheme for two types of JPEG2000 filters (5/3 and 9/7 filter) are proposed.
Dhafer Al-layla
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Wavelet packet analysis for rotor bar breakage in an inverter induction motor
Electrical engineering & Electromechanics, 2023 Introduction. In various industrial processes, squirrel cage induction motors are widely employed. These motors can be used in harsh situations, such as non-ventilated spaces, due to their high strength and longevity.
O. Z. I. Abu Ibaid +5 more
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Int. J. Distributed Sens. Networks, 2020 Wavelet family and differential evolution are proposed for categorization of epilepsy cases based on electroencephalogram (EEG) signals. Discrete wavelet transform is widely used in feature extraction step because it efficiently works in this field, as ...
Ahmad Al-qerem +4 more
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Wavelet p-analogs of the discrete Haar transform [PDF]
Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика, 2021 Two $p$-analogs (for $p>2$) of the discrete version of the Haar system in vector symbolism are proposed and fast algorithms are constructed based on them.
Bespalov, Mikhail S.
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IEEE Access, 2023 Traditionally, the success of the Transformer has been attributed to its token mixer, particularly the self-attention mechanism. However, recent studies suggest that replacing such attention-based token mixer with alternative techniques can yield ...
Dongwook Yang, Seung-Woo Seo
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The Improvement of the Discrete Wavelet Transform
Mathematics, 2023 Discrete wavelet transforms are widely used in signal processing, data compression and spectral analysis. For discrete data with finite sizes, one always pads the data with zeros or extends the data into periodic data before performing the discrete ...
Zhihua Zhang
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Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging
Applied Sciences, 2020 Denoising and compression of 2D and 3D images are important problems in modern medical imaging systems. Discrete wavelet transform (DWT) is used to solve them in practice.
N. Chervyakov +2 more
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Jurnal Riset Informatika, 2019 Research on stock prices is still interesting for researchers. As in this study, ANTM's stock price closing data is used as a data set that is processed to be then predicted in the future. The Neural Network method is a method that is very widely used by
Indah Suryani
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