The Study of Denoising Algorithm for Partial Discharge Signal Based on the Wavelet

2014 ◽  
Vol 1070-1072 ◽  
pp. 994-1000
Author(s):  
Lu Li ◽  
Guo Qing Jiang ◽  
Tian Ye Niu ◽  
Yi Wang ◽  
Yong Lu ◽  
...  
Keyword(s):  
Mobile Communication ◽  
Partial Discharge ◽  
Pulse Signal ◽  
Digital Technique ◽  
External Interference ◽  
Pulse Interference ◽  
Communication Signal ◽  
Valid Data ◽  
Random Pulse ◽  
Huge Challenge

Since the strong coupling property between partial discharge and external interference, how to obtain an acceptable Resolution is a huge challenge during partial discharge measure. In terms of interference suppression, many methods associated with analog and digital technique are devised. Whatever the methods are, the way to eliminate pulse interference is the toughest task due to the closest feature in the respect of time and frequency field compared with partial discharge. In this paper, we propose a wavelet based interference separation method to separate partial discharge signal compounding with random pulse signal, mobile communication signal and white noise, providing valid data for the following partial discharge measurement. Both simulation and practical results verify the effectiveness of our proposed method.

scholarly journals Partial Discharge Pulse Segmentation Approach of Converter Transformers Based on Higher Order Cumulant

Energies ◽  
2022 ◽  
Vol 15 (2) ◽  
pp. 415
Author(s):  
Dingqian Yang ◽  
Weining Zhang ◽  
Guanghu Xu ◽  
Tiangeng Li ◽  
Jiexin Shen ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Pulse Signal ◽  
Original Data ◽  
High Order ◽  
Segmentation Method ◽  
Data Simulation ◽  
Pulse Interference ◽  
Location Accuracy ◽  
Discharge Pulse ◽  
Segmentation Approach

As one of the most effective methods to detect the partial discharge (PD) of transformers, high frequency PD detection has been widely used. However, this method also has a bottleneck problem; the biggest problem is the mixed pulse interference under the fixed length sampling. Therefore, this paper focuses on the study of a new pulse segmentation technology, which can separate the partial discharge pulse from the sampling signal containing impulse noise so as to suppress the interference of pulse noise. Based on the characteristics of the high-order-cumulant variation at the rising edge of the pulse signal, a method for judging the starting and ending time of the pulse based on the high-order-cumulant is designed, which can accurately extract the partial discharge pulse from the original data. Simulation results show that the location accuracy of the proposed method can reach 94.67% without stationary noise. The field test shows that the extraction rate of the PD analog signal can reach 79% after applying the segmentation method, which has a great improvement compared with a very low location accuracy rate of 1.65% before using the proposed method.

Geomagnetic signal de-noising method based on improved empirical mode decomposition and morphological filtering

2020 ◽  
pp. 095441002095102
Author(s):  
Hongqi Zhai ◽  
Lihui Wang ◽  
Qingya Liu ◽  
Nan Qiao
Keyword(s):  
Empirical Mode Decomposition ◽  
Cross Correlation ◽  
Random Noise ◽  
Pulse Signal ◽  
Structural Elements ◽  
Intrinsic Mode Functions ◽  
Pulse Interference ◽  
Mode Decomposition ◽  
Morphological Filtering ◽  
Mean Square Errors

To solve the problem that geomagnetic signals are susceptible to random noise and instantaneous pulse interference in geomagnetic navigation, a geomagnetic signal de-noising method based on improved empirical mode decomposition (IEMD) and morphological filtering (MF) is proposed. The instantaneous pulse interference is eliminated by designing different structural elements according to the characteristics of the pulse signal. The signal after filtering the instantaneous pulse interference is decomposed by EMD, and the intrinsic mode functions (IMFs) obtained from the decomposition are determined as two modes (i.e. noise IMFs and mixed IMFs) by the cross-correlation coefficient criterion. The noise IMFs are removed directly, and a normalized least means square filter (NLMS) is designed to remove noise from mixed IMFs, which can adaptively adjust the filtering parameters according to the noise level of different IMF components. The noise-reduced mixed IMFs and residual are reconstructed to obtain the final geomagnetic signal. Experiment results illustrate that the proposed MF-IEMD method can effectively achieve noise reduction. Comparing with the traditional EMD and MF-EMD de-noising methods, the root mean square errors(RMSE) decreased by 49.27% and 24.79%, respectively.

scholarly journals Design of Mobile Communication Indoor Distribution System

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Mu Jinsheng
Keyword(s):  
Mobile Phone ◽  
Mobile Communication ◽  
Distribution System ◽  
Base Station ◽  
Shielding Effect ◽  
Living Standard ◽  
Network Coverage ◽  
Communication Signal ◽  
Indoor Coverage ◽  
Blind Area

With the development of economy, the improvement of people's living standard has been increasing and theconstruction of buildings is becoming more demanding. These buildings are large in scale and of good quality andhave a strong shielding effect on mobile phone signals. In the middle of the large-scale buildings, undergroundshopping malls, underground parking and other environments, the mobile communication signal is weak hence thephone cannot be used normally and forming a mobile communication blind area and shadow area. In the middlefl oor, due to the surrounding diff erent base station signal overlap, the ping-pong eff ect, frequent switching of mobilephones and even dropped calls are seriously aff ecting the normal use of mobile phones. In the building's higher fl oors,due to the height of the base station antenna, it has abnormal coverage and there is also mobile communication blindspot. In addition, in some buildings, although the phone can answer normal call but the user density, base stationchannel congestion and mobile phone line is diffi cult. In particular, the network coverage, capacity and quality ofmobile communication are the key factors for operators to gain competitive advantage. Network coverage, networkcapacity and network quality fundamentally refl ects the mobile network service level and is the theme of all mobilenetwork optimization work. The indoor coverage system is produced under this background. According to the relevantstatistics in some areas of indoor traffi c in the total traffi c accounted for a higher proportion. Therefore, strengtheningthe indoor coverage is of great signifi cance to improve the quality of mobile communication.

Mobile Communication Inter-Symbol Crosstalk Cancellation Based on Calman Digital Equalizer Filter

2014 ◽  
Vol 716-717 ◽  
pp. 1262-1266
Author(s):  
Li Hua Sun ◽  
Cui Cui Huang ◽  
Liang Jun Yu
Keyword(s):  
Mobile Communication ◽  
Signal Transmission ◽  
Reference Signal ◽  
State Equation ◽  
Duty Ratio ◽  
Feedback Signal ◽  
Factors Affecting ◽  
Communication Signal ◽  
Matlab Programming ◽  
Inter Symbol Interference

In the digital mobile communication signal transmission system, the inter-symbol interference is one of the main factors affecting the performance. In order to make the error rate reducing to a minimum, this paper designs a new Calman digital equalization filter. It is based on Calman filter principle, and establishes the control mathematical model of observation equation and state equation, and uses MATLAB programming to realize the algorithm. In order to verify the effectiveness and reliability of this filter, this paper uses filter toolbox of MATAB to do numerical simulation on the filtering effect. Through comparing with normal digital equalization filter effect, after adding the Calman digital equalizer filter, the feedback signal is conformed to the reference signal. The duty ratio of SPWM follows the basic changing law, so as to maximize the elimination of crosstalk inter-symbol. It provides reference data for the research on mobile communication inter-symbol interference.

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