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Partial discharge signal denoising by using hard threshold and soft threshold methods and wavelet transformation

A Zaeni, T Kasnalestari, U Khayam
2019 IOP Conference Series: Materials Science and Engineering  
Wavelet transformation is applied in various levels then we compare the best denomination while denoisation using Threshold is applied using Soft Threshold and Hard Threshold.  ...  In this study, an experiment will be conducted to denounce partial discharge waves using Wavelet and Threshold transformations.  ...  Threshold Parameter Testing The test was carried out by using the Soft Threshold and Hard Threshold of 4 partial discharge wave data.  ... 
doi:10.1088/1757-899x/602/1/012034 fatcat:iqncx56npbfevkro4gak7dl3ze

Partial Discharge Signal Denoising by Discrete Wavelet Transformation

Trinurkalid Sumarwoto, Arief Basuki, Umar Khayam, Naohiro Hozumi
2018 EPI International Journal of Engineering  
In the partial discharge signal, the signal analysis can be realized in the time domain or in the frequency domain.  ...  In this paper, a study of wavelet transformation was done to reduce noise from partial discharge signals obtained from previous experiment.  ...  The soft threshold uses three equations to denoise the partial discharge signal, but the hard threshold only use two equations [4] .  ... 
doi:10.25042/epi-ije.022018.12 fatcat:x3sgdgzg2vednfpqv3sk3fplla

Multi-stage PIC receiver with decision thresholds over rayleigh fading channel

Mohamed Moussaoui, Mostafa Zaizouni, Jean-Michel Rouvaen
2009 2009 Mediterrannean Microwave Symposium (MMS)  
The decision threshold determines how much MAI is to be cancelled with hard decision and high probability.  ...  This approach is original compared to PIC receiver with decision thresholds using null zone hard decision.  ...  There are two types of multi-stage partial PIC receivers: the multistage PIC receiver with partial cancellation factors and multistage PIC receiver with decision thresholds.  ... 
doi:10.1109/mms.2009.5409785 fatcat:5dhtesamwff2flsng6aztifouq

Investigation on Time Domain Signal to Appropriate Wavelet Transform Threshold Function Selection for Partial Discharge Detection

C K Vibhakar, S A Kanitkar
2011 International Journal on Electrical Engineering and Informatics  
Dielectric insulation is mostly affected due to Partial discharge (PD) pulses, which are resultants of various stress parameters.  ...  This paper presents the vital issues of WT threshold function determination. Here, a method is envisaged for appropriate WT threshold function selection based on acquired signal analysis.  ...  A PD pulse denoising is carried out using universal threshold with hard and soft threshold function.  ... 
doi:10.15676/ijeei.2011.3.1.6 fatcat:y45v6rjlxjcctmelybyx6zto7m

Partial Encryption of Compressed Image Using Threshold Quantization and AES Cipher

Hameed A. Younis, Abdulkareem Y. Abdalla, Turki Y. Abdalla
2012 Iraqi Journal for Electrical And Electronic Engineering  
The proposed partial encryption schemes are fast, secure, and do not reduce the compression performance of the underlying selected compression methods. Hard threshold quantization. ‫  ...  Soft and hard threshold compression methods are used in the compression step and the Advanced Encryption Standard (AES) cipher is used for the encryption step.  ...  image will be used according to the threshold type: a) Hard-Threshold Quantization-AES Partial Encryption Scheme (Hard-THR Q-AES-PE) b) Soft-Threshold Quantization-AES Partial Encryption Scheme  ... 
doi:10.33762/eeej.2012.79714 fatcat:52yxwyj6dnernotrv6cxylspma

Unbalanced Threshold Based Distributed Data Collection Scheme in Multisink Wireless Sensor Networks

Guorui Li, Ying Wang, Cong Wang, Yiying Liu
2016 International Journal of Distributed Sensor Networks  
The proposed scheme includes the unbalanced threshold based distributed top-| | query algorithm and the distributed iterative hard thresholding algorithm.  ...  After that, the synchronized sensed data of the whole sensor network can be reconstructed through the distributed iterative hard thresholding algorithm in a distributed and cooperative manner.  ...  iterative hard thresholding algorithm (7) .  ... 
doi:10.1155/2016/8527312 fatcat:s5thplabkvc3hcgfwcojauy6ba

One-Bit Compressive Sensing with Partial Support [article]

Phillip North, Deanna Needell
2015 arXiv   pre-print
This work explores avenues for incorporating such partial-support information into the one-bit setting.  ...  Then, we could Algorithm 2 Binary Iterative Hard Thresholding with Partial Support Estimate Weighting (BIHT-PSW).  ...  Algorithm 1 1 Binary Iterative Hard Thresholding (BIHT).  ... 
arXiv:1506.00998v1 fatcat:nzmzzabcdba4rin7qgznhmkdqm

One-bit Compressive Sensing with partial support

Phillip North, Deanna Needell
2015 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)  
Then, we could Algorithm 2 Binary Iterative Hard Thresholding with Partial Support Estimate Weighting (BIHT-PSW).  ...  Algorithm 1 1 Binary Iterative Hard Thresholding (BIHT).  ... 
doi:10.1109/camsap.2015.7383808 dblp:conf/camsap/NorthN15 fatcat:ajoqwz3xlrfbhby6mz3wz6fxka

Partial Discharge Signal Denoising Using the Empirical Mode Decomposition

Andrew Hill, Brian G Stewart, Scott G McMeekin, Gordon Morison
2013 International Journal of Signal Processing Systems  
The denoising techniques are based on thresholding the Intrinsic Mode Functions which result from the Empirical Mode Decomposition of a signal.  ...  .  Index Terms-empirical mode decomposition (EMD), signal denoising, partial discharge  ...  It is calculated as follows: Decomposition Method Denoising Technique Reference EMD CIIT EMD-CIIT EMD IIT EMD-IIT EMD IT EMD-IT DWT Hard Thresholding DWT-Hard International Journal of  ... 
doi:10.12720/ijsps.1.2.268-272 fatcat:tvlezfd2hvhonadcdv4pnixiuu

THE INFLUENCE OF DEVICE GEOMETRY ON THE PARTIALLY DEPLETED SOI TRANSISTOR TID HARDNESS
English

Ivan Shvetsov-Shilovskiy, Anatoly Smolin, Pavel Nekrasov, Anastasia Ulanova, Alexander Nikiforov
2016 RAD Association Journal  
CONCLUSION The purpose of this paper was to estimate the influence of the device geometry on the partially depleted SOI transistors TID hardness.  ...  SOI transistors can be fully and partially depleted. If the depletion region reaches buried oxide, the transistor is fully depleted, otherwise it is called partially depleted.  ... 
doi:10.21175/radj.2016.01.04 fatcat:afdhbabm2rd43elq5z76an5nxa

Novel Algorithm for Sparse Solutions to Linear Inverse Problems with Multiple Measurements [article]

Lianlin Li, Fang Li
2009 arXiv   pre-print
2) the detection of partial (or all) locations of unknown jointly sparse signals by using so-called MUSIC algorithm; (3) the iterative NESTA-based algorithm by combing hard thresholding technique to decrease  ...  Under a very mild condition on the sparsity of X and characteristics of the A, the iterative hard threshold (IHT)-based MMV method has been shown to be also a very good candidate.  ...  (2) the detection of partial (or all) locations of unknown jointly sparse signals by using so-called MUSIC algorithm; (3) the iterative NESTA-based algorithm by combing hard thresholding technique to decrease  ... 
arXiv:0905.3245v1 fatcat:mqoqt7h55bh4fpssqsgrurpffm

Identity-based threshold group signature scheme based on multiple hard number theoretic problems

Nedal Tahat, Ashraf A. Tahat
2020 International Journal of Electrical and Computer Engineering (IJECE)  
This technique relies on two difficult problems and offers an improved level of security relative to an individual hard problem.  ...  We introduce in this paper a new identity-based threshold signature (IBTHS) technique, which is based on a pair of intractable problems, residuosity and discrete logarithm.  ...  Calculate ≡ (ℎ( ) ( ) ∏ − − =1, ≠ − ) mod (3) ISSN: 2088-8708  Identity-based threshold group signature scheme based on multiple hard number … (Nedal Tahat) 3697 Then send along with ( , ) as the partial  ... 
doi:10.11591/ijece.v10i4.pp3695-3701 fatcat:jmyhykzivbdspf5xxhu36ri6ae

A Novel AE Based Algorithm for PD Localization in Power Transformers

Sina Mehdizadeh, Mohammadreza Yazdchi, Mehdi Niroomand
2013 Journal of Electrical Engineering and Technology  
Partial discharge is one of the main failures in power transformers. The localization of which could be very useful for maintenance systems.  ...  Then, a reasonable structure for threshold value determining and applying manner on signals is presented. Evaluated errors are good evidences for choices.  ...  Hard thresholding keeps wavelet coefficients that are higher than threshold and removes the rest.  ... 
doi:10.5370/jeet.2013.8.6.1487 fatcat:2flib6omtrf7xpav5bedx6qnzq

The Curvelet Approach for Denoising in various Imaging Modalities using Different Shrinkage Rules

D. Mary sugantharathnam, Dr. D. Manimegalai
2011 International Journal of Computer Applications  
A comprehensive evaluation of the Curvelet transform and the effect of Curvelet shrinkage techniques like Soft thresholding, Hard thresholding and Garrote thresholding as well as Partial reconstruction  ...  Hard Thresholding Continuous Garrote thresholding These thresholding functions might be a good choice because large co-efficients remain nearly unaltered.  ... 
doi:10.5120/3575-4933 fatcat:ztfyxritavhezi6d2ittxq7kf4

A Wavelet Threshold Function for Treatment of Partial Discharge Measurements [chapter]

Caio F.F.C. Cunha, Mariane R. Petraglia, André T. Carvalho, Antonio C.S. Lima
2020 Wavelet Theory [Working Title]  
Based on the wavelet transform filtering theory, the chapter will describe the elaboration of a wavelet threshold function intended for the denoising of the partial discharge phenomenon measurements.  ...  The proposed function and its variants demonstrate excellent results compared to other wavelet thresholding methods already described in the literature, including the famous Hard and Soft functions.  ...  17 A Wavelet Threshold Function for Treatment of Partial Discharge Measurements DOI: http://dx.doi.org /10.5772/intechopen.94115  ... 
doi:10.5772/intechopen.94115 fatcat:zaug2fwmrfbtneih35igz3jqj4
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