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Journal articles on the topic 'PD Signal'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Sun, Zhang, Shi, and Gou. "Extraction of Partial Discharge Pulses from the Complex Noisy Signals of Power Cables Based on CEEMDAN and Wavelet Packet." Energies 12, no. 17 (2019): 3242. http://dx.doi.org/10.3390/en12173242.

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While both periodic narrowband noise and white noise are significant sources of interference in the detection and localization of partial discharge (PD) signals in power cables, existing research has focused nearly exclusively on white noise suppression. This paper addresses this issue by proposing a new signal extraction method for effectively detecting random PD signals in power cables subject to complex noise environments involving both white noise and periodic narrowband noise. Firstly, the power cable signal was decomposed using complete ensemble empirical mode decomposition with adaptive

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2

Zhou, Kai, Mingzhi Li, Yuan Li, Min Xie, and Yonglu Huang. "An Improved Denoising Method for Partial Discharge Signals Contaminated by White Noise Based on Adaptive Short-Time Singular Value Decomposition." Energies 12, no. 18 (2019): 3465. http://dx.doi.org/10.3390/en12183465.

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To extract partial discharge (PD) signals from white noise efficiently, this paper proposes a denoising method for PD signals, named adaptive short-time singular value decomposition (ASTSVD). First, a sliding window was moved along the time axis of a PD signal to cut a whole signal into segments with overlaps. The singular value decomposition (SVD) method was then applied to each segment to obtain its singular value sequence. The minimum description length (MDL) criterion was used to determine the number of effective singular values automatically. Then, the selected singular values of each sig

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3

Zhang, Anan, Cong He, Maoyi Sun, Qian Li, Hong Wei Li, and Lin Yang. "Partial discharge signal self-adaptive sparse decomposition noise abatement based on spectral kurtosis and S-transform." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 1 (2018): 293–306. http://dx.doi.org/10.1108/compel-03-2017-0126.

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Purpose Noise abatement is one of the key techniques for Partial Discharge (PD) on-line measurement and monitoring. However, how to enhance the efficiency of PD signal noise suppression is a challenging work. Hence, this study aims to improve the efficiency of PD signal noise abatement. Design/methodology/approach In this approach, the time–frequency characteristics of PD signal had been obtained based on fast kurtogram and S-transform time–frequency spectrum, and these characteristics were used to optimize the parameters for the signal matching over-complete dictionary. Subsequently, a self-a

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4

Kui Fern, Chin, Chai Chang Yii, Asfarina Abu Bakar, et al. "Adaptive Wavelet De-noising Algorithm using Absolute Difference Optimization Technique for Partial Discharge Signal." Journal of Engineering and Science Research 7, no. 3 (2023): 26–31. http://dx.doi.org/10.26666/rmp.jesr.2023.3.4.

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Discrete Wavelet Transform (DWT) de-noising method is widely used for one-dimension partial discharge (PD) signals measured from medium voltage underground cable. However, DWT de-noising has several drawbacks that prevent the DWT de-noising from improving its de-noising effectiveness In DWT de-noising, the two most important parameters are decomposition level and mother wavelet. The aforementioned parameters must be varied according to the noise level in the measured PD signal in order to effectively suppress the noise of the measured PD signal. In this paper, an adaptive DWT de-noising algori

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5

Chen, Baichao, Weiqiang Qi, Jiaxin Yuan, and Yihong You. "Recognition of High-Voltage Cable Partial Discharge Signal Based on Adaptive Fuzzy C-Means Clustering." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 06 (2017): 1759009. http://dx.doi.org/10.1142/s0218001417590091.

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Partial discharge (PD) detection is an effective means to find high-voltage cable defects. However, various interference signals affect the PD signal in practical applications, resulting in wrong judgment. In order to improve the accuracy of PD detection of high voltage cables, an adaptive fuzzy C-means (FCM) clustering was proposed to identify PD signals. The adaptive threshold pulse extraction algorithm based on fixed interval width was employed. The threshold was changed adaptively to extract the effective PD pulse waveform according to the change of the background noise and the degree of P

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6

Guo, Bowen, Songyuan Li, Qinghua Tang, Lin Li, and Pengfei Li. "A Fuzzy Interpolation Cross-Correlation Method for Time-Delay Estimation of Partial Discharge UHF Pulse Signals." Journal of Electrical and Computer Engineering 2021 (October 23, 2021): 1–10. http://dx.doi.org/10.1155/2021/8532714.

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Time-delay estimation of partial discharge (PD) ultrahigh-frequency (UHF) pulse signals is one of the effective means to diagnose the local defect of electrical equipment. In order to improve the time-delay estimation accuracy of a multielement PD UHF pulse signal sensor array and reduce the cost of the PD detection system, a fuzzy interpolation cross-correlation method for time-delay estimation of PD UHF pulse signals was proposed in this paper. Improving the signal sampling rate is an effective way to improve the time-delay estimation accuracy. In this work, the fuzzy interpolation inference

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7

Muhammad Izwan Abdul Halim, Nur Zahirah MohdRazaly, Mohamad Nur Khairul Hafizi Rohani, et al. "Multiple Partial Discharge Signal Classification Using Artificial Neural Network Technique in XLPE Power Cable." Journal of Advanced Research in Applied Sciences and Engineering Technology 29, no. 3 (2023): 214–27. http://dx.doi.org/10.37934/araset.29.3.214227.

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According to partial discharge (PD) damage in the electrodes that are not entirely bridging, the presence of PD in the high voltage (HV) power cable might lead to insulation failure. PD defects can damage cross-linked polyethylene (XLPE) cables directly, which is one of the most critical electrical issues in the industry. Poor workmanship during cable jointing, aging, or exposure to the surrounding environment is the most common cause of PD in HV cable systems. As a result, the location of the PD signals that occur cannot be classified without identifying the multiple PD signals present in the

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8

Wang, Yanwen, Peng Chen, Yongmei Zhao, and Yanying Sun. "A Denoising Method for Mining Cable PD Signal Based on Genetic Algorithm Optimization of VMD and Wavelet Threshold." Sensors 22, no. 23 (2022): 9386. http://dx.doi.org/10.3390/s22239386.

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When the pulse current method is used for partial discharge (PD) monitoring of mining cables, the detected PD signals are seriously disturbed by the field noise, which are easily submerged in the noise and cannot be extracted. In order to realize the effective separation of the PD signal and the interference signal of the mining cable and improve the signal-to-noise ratio of the PD signal, a denoising method for the PD signal of the mining cable based on genetic algorithm optimization of variational mode decomposition (VMD) and wavelet threshold is proposed in this paper. Firstly, the genetic

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9

Alhaidar, Abdul Rahman, Mohamed Yacin Sikkandar, and Abdulaziz A. Alkathiry. "Reconstruction of dual tasking gait pattern in Parkinson’s disease subjects using radial basis function based artificial intelligence." Journal of Intelligent & Fuzzy Systems 39, no. 4 (2020): 5437–48. http://dx.doi.org/10.3233/jifs-189027.

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Vertical Ground Reaction Force (VGRF) is a force obtained during gait cycle beneath the feet and is used to screen the severity of Parkinson’s disease (PD) patient’s in clinical environment. This article investigates the VGRF signals (left and right) semblance nature among PD patients and control subjects as a function of time and possibility of reconstructing dual tasking VGRF signal from normal walking VGRF signals using radial basis function (RBF) based artificial intelligence (AI). There are many traditional methods for gait analysis and these methods are purely subjective and none made se

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10

Bohari, Z. H., M. Isa, A. Z. Abdullah, P. J. Soh, and M. F. Sulaima. "A smart partial discharge classification SOM with optimized statistical transformation feature." Bulletin of Electrical Engineering and Informatics 10, no. 2 (2021): 1054–62. http://dx.doi.org/10.11591/eei.v10i2.2751.

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Condition-based monitoring (CBM) has been a vital engineering method to assess high voltage (HV) equipment and power cables conditions or health levels. One of the effective CBM methods is partial discharge (PD) measurement or detection. PD event is the phenomenon that always associated with insulation healthiness. PD has been measured and evaluated in this paper to discriminate PD signals from a good signal. A mixed-signal being fed at an AI technique with statistical modified input data to do fast classification (less than five seconds) with nearly zero error. In this paper, an unsupervised

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11

Ma, Xiao, and Hoi Wai Choi. "Observation of ground loop signals in GaN monolithically integrated devices." Journal of Vacuum Science & Technology B 41, no. 1 (2023): 012207. http://dx.doi.org/10.1116/6.0002245.

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The observation of ground loop signals in nonelectrically isolated GaN monolithic systems has prompted an investigation on its origins. The study is carried out with devices comprising monolithic light-emitting diodes (LED) and photodetectors (PD) that are either electrically isolated by completely etching through the GaN epitaxial layers, or nonelectrically isolated devices where the etch terminates at the n-GaN layer, through TCAD simulations and experiments. While the devices behave identically to DC input signals, a signal can be observed across the PD of the nonelectrically isolated devic

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12

Faizol, Zulbirri, Farid Zubir, Norhafezaidi Mat Saman, et al. "Detection Method of Partial Discharge on Transformer and Gas-Insulated Switchgear: A Review." Applied Sciences 13, no. 17 (2023): 9605. http://dx.doi.org/10.3390/app13179605.

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The detection of partial discharge (PD) activities in high-voltage equipment can be conducted according to several mechanisms of signal detection, including electromagnetic wave signal detection, acoustic signal detection, chemical reactions, electrical signal detection, and optical emission detection. Recently, multiple methods of detection and localization of partial discharge activities, which occurred in power transformers and gas-insulated switchgear (GIS), have been proposed to monitor the health condition of high-voltage equipment, especially when the awareness regarding preventive main

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13

Adriana Azhar, Nayli, Norazizah Mohd Aripin, Goh Chin Hock, Nayla Ferdous, and Saidatul Hamidah. "A t-shaped partial ground microstrip patch antenna based UHF sensor for partial discharge detection." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 704. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp704-711.

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Continuous partial discharge (PD) monitoring and early PD detection is important in making sure the necessary preventative measures can be taken accordingly. This paper proposed a T-shaped partial ground microstrip patch antenna that is able to detect PD signal within the UHF range. The antenna was designed and simulated using CST Microwave Studio. The antenna was then fabricated using FR4 substrate material and tested for reception test. The simulation results and the analysis from the fabricated antenna confirmed that the proposed antenna able to detect PD signal at UHF range (specifically a

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14

Shi, Zhongyan, Lei Ding, Xingyu Han, et al. "Multimodal biofeedback for Parkinson’s disease motor and nonmotor symptoms." Brain Science Advances 9, no. 2 (2023): 136–54. http://dx.doi.org/10.26599/bsa.2023.9050015.

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Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor retardation, myotonia, quiescent tremor, and postural gait abnormality, as well as nonmotor symptoms such as anxiety and depression. Biofeedback improves motor and nonmotor functions of patients by regulating abnormal electroencephalogram (EEG), electrocardiogram (ECG), photoplethysmography (PPG), electromyography (EMG), respiration (RSP), or other physiological signals. Given that multimodal signals are closely related to PD states, the clinical effect of multimodal biofeedback on patients with PD is worth explori

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15

Yaacob, Mohd Muhridza, and Malik Abdulrazzaq Alsaedi. "Partial Dicharge Signal Analysis in Insulation Oil Using Optical Chromatic Technique." Applied Mechanics and Materials 530-531 (February 2014): 332–35. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.332.

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In this work optical chromatic approch has been use to analyze PD signals in insulation oil. The study of chromatic approach of acoustic emission for PD phenomenon addressing PD signals with three detectors red, green and blue (R,G,B) having non-orthogonal (overlapping) responses. The outputs of the three detectors are transformed into a number of chromatic parameters designated x, y, z as well as hue, lightness and saturation (H,L,S). The x, y, z represents the proportion of the signal from each of the three processors while H, L, S represents the dominant phase, effective strength and notion

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16

Sornsen, Isara, Chatchai Suppitaksakul, and Pollakrit Toonkum. "Mother Wavelet Performance Evaluation for Noise Removal in Partial Discharge Signals." ECTI Transactions on Electrical Engineering, Electronics, and Communications 20, no. 3 (2022): 450–60. http://dx.doi.org/10.37936/ecti-eec.2022203.247521.

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This article aims to study the pattern of partial discharge (PD) signals occurring on the insulators of high-voltage systems. A mother wavelet comparison and wavelet decomposition are presented to detect and locate PD signals by dividing them into three processes: 1) Signal test generation, employing RC and RLC impedance circuits whereby the output voltage pulses in the RC impedance circuit are expressed as damped exponential pulses (DEPs) and those of the RLC as damped oscillatory pulses (DOPs). White Gaussian noise (AWGN) is then added, which mimics the effect of many random processes in mea

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17

Yun, Yu Xin. "Clustering Research on Fractal Parameter of GIS PD UHF Signals." Applied Mechanics and Materials 380-384 (August 2013): 3818–21. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3818.

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The distribution of fractal parameters (box dimension and lacunarity) vary with noise level of GIS PD UHF signal is the main obstacle to the use of fractal theory in GIS PD pattern recognition. According to the characteristic of fractal parameters, box dimension and wavelet method have been used in control the noise level and gather the fractal parameters of each kind of GIS PD UHF signals. Simulations show that, the fuzzy control parameters filtering algorithm based on the box dimension will lead to the dispersive of lacunarity and the distribution of fractal parameters changes as the noise l

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18

Yang, Jingjie, Ke Yan, Zhuo Wang, and Xiang Zheng. "A Novel Denoising Method for Partial Discharge Signal Based on Improved Variational Mode Decomposition." Energies 15, no. 21 (2022): 8167. http://dx.doi.org/10.3390/en15218167.

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Partial discharge (PD) online monitoring is a common technique for high-voltage equipment diagnosis. However, due to field interference, the monitored PD signal contains a lot of noise. Therefore, this paper proposes a novel method by integrating the flower pollination algorithm, variational mode decomposition, and Savitzky–Golay filter (FPA-VMD-SG) to effectively suppress white noise and narrowband noise in the PD signal. Firstly, based on the mean envelope entropy (MEE), the decomposition number and quadratic penalty term of the VMD were optimized by the FPA. The PD signal containing noise w

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19

Thuc, Vu Cong, and Han Soo Lee. "Partial Discharge (PD) Signal Detection and Isolation on High Voltage Equipment Using Improved Complete EEMD Method." Energies 15, no. 16 (2022): 5819. http://dx.doi.org/10.3390/en15165819.

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Electricity has a crucial function in contemporary civilization. The power grid must be stable to ensure the efficiency and dependability of electrical equipment. This implies that the high-voltage equipment at the substation must be reliably operated. As a result, the appropriate and dependable use of systems to monitor the operating status of high-voltage electrical equipment has recently gained attention. Partial discharge (PD) analysis is one of the most promising solutions for monitoring and diagnosing potential problems in insulation systems. Noise is a major challenge in diagnosing and

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20

Xu, Wencong, Bingshu Chen, Yue Hu, and Jianxun Li. "A Novel Wide-Band Directional MUSIC Algorithm Using the Strength Proportion." Sensors 23, no. 9 (2023): 4562. http://dx.doi.org/10.3390/s23094562.

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The directional multiple signal classification (Dir-MUSIC) algorithm based on the antenna gain array manifold has been proposed to find the direction of the partial discharge (PD) source in substations. However, PD signals are wideband signals and the antenna gain pattern functions are always different at different frequencies; therefore, the accuracy can be improved using a wideband Dir-MUSIC algorithm. In this paper, wideband Dir-MUSIC algorithms are discussed and a novel wideband Dir-MUSIC algorithm using the strength proportion (DirSP) is proposed. This algorithm estimates a focusing PD si

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21

Li, Yanan, and Zhaohui Li. "Application of a Novel Wavelet Shrinkage Scheme to Partial Discharge Signal Denoising of Large Generators." Applied Sciences 10, no. 6 (2020): 2162. http://dx.doi.org/10.3390/app10062162.

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Partial Discharge (PD) measurements of large generators are extremely affected and hampered by noise, making the denoising of PD signal an inevitable issue. Wavelet shrinkage is the most commonly employed method for PD signal denoising. The appropriate mother wavelet and decomposition level are critically important for the denoising performance. In consideration of the PD signal characteristics of large generators, a novel wavelet shrinkage scheme for PD signal denoising is presented. In the scheme, a scale dependent wavelet selection method is proposed; the core idea is that the optimum wavel

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22

Sun, Kang, Tong Wu, Xinwei Li, and Jing Zhang. "Robust Estimation of Arrival Time of Complex Noisy Partial Discharge Pulse in Power Cables Based on Adaptive Variational Mode Decomposition." Applied Sciences 10, no. 5 (2020): 1641. http://dx.doi.org/10.3390/app10051641.

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Periodic narrowband signals and white noise are the main interferences in online detection and localization of cable partial discharge (PD), however, existing research has always focused on the white noise suppression only, which is not in line with the actual scene. A novel de-noising method for effectively extracting random PD pulse from complex and strong interferences is proposed in this paper and applied to PD localization. Firstly, an improved adaptive variational mode decomposition (AVMD) is used to decompose periodic narrowband interference, white noise, and PD signal into different in

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23

Gourishetti, Saichand, David Johnson, Sara Werner, András Kátai, and Peter Holstein. "Partial discharge monitoring using deep neural networks with acoustic emission." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (2021): 3312–23. http://dx.doi.org/10.3397/in-2021-2373.

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The occurrence of partial discharge (PD) indicates failures in electrical equipment. Depending on the equipment and operating conditions, each type of PD has its own acoustic characteristics and a wide frequency spectrum. To detect PD, electrical equipment is often monitored using various sensors, such as microphones, ultrasonic, and transient-earth voltage, whose signals are then analyzed manually by experts using signal processing techniques. This process requires significant expertise and time, both of which are costly. Advancements in machine learning, aim to address this issue by automati

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24

Zhou, Huan, Zhong Ma, Xiunan Chu, et al. "Small window cross-correlation accumulation time difference algorithm based on peak judgment method and generalized cross-correlation method." Journal of Physics: Conference Series 2369, no. 1 (2022): 012043. http://dx.doi.org/10.1088/1742-6596/2369/1/012043.

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Based on peak judgment method and generalized correlation method, this paper proposes a new ultra high frequency partial discharge signal time difference algorithm. This algorithm avoids the defect that the traditional cross-correlation algorithm has a large correlation error for signals with lower amplitude. At the same time, by accumulating the correlation results of N groups of data, the influence of random interference of UHF PD signal on the correlation results is reduced. N times of correlation analysis were performed and correlation results were accumulated in a small area near the peak

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25

Liu, Tingliang, Jing Yan, Yanxin Wang, Yifan Xu, and Yiming Zhao. "GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory." Entropy 23, no. 6 (2021): 774. http://dx.doi.org/10.3390/e23060774.

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Distinguishing the types of partial discharge (PD) caused by different insulation defects in gas-insulated switchgear (GIS) is a great challenge in the power industry, and improving the recognition accuracy of the relevant models is one of the key problems. In this paper, a convolutional neural network and long short-term memory (CNN-LSTM) model is proposed, which can effectively extract and utilize the spatiotemporal characteristics of PD input signals. First, the spatial characteristics of higher-level PD signals can be obtained through the CNN network, but because CNN is a deep feedforward

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Wang, Hui, Xiu Wei Li, Yu Xin Yun, and Hai Yan Yuan. "Reassigned Time Frequency Analysis for PD Signals in GIS." Applied Mechanics and Materials 448-453 (October 2013): 1959–62. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.1959.

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Partial discharge signal in GIS is a kind of typical non-stationary signal, using the time or frequency domain simply is not enough to describe the time-varying information of PD. Based on the reason above, this paper introduces a joint time-frequency analysis method according to the reassignment theory for analyzing the PD of GIS. After the processing of the PD signals simulated and on field, we conclude that this method provides a higher concentration in the time-frequency plane and reduces the most influence of the cross-interference terms.

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27

Suo, Chunguang, Jingjing Zhao, Xuehua Wu, Zhipeng Xu, Wenbin Zhang, and Mingxing He. "Partial Discharge Detection Technology for Switchgear Based on Near-Field Detection." Electronics 12, no. 2 (2023): 336. http://dx.doi.org/10.3390/electronics12020336.

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In view of the fact that the partial discharge (PD) signal energy is mainly concentrated below hundreds of megahertz, the ultra-high frequency part of the energy is weak, and the interior space of the switchgear is narrow, this paper proposes a new method for PD detection of the switchgear based on near-field detection. Firstly, based on the principle of PD, the field characteristics of the signal in the switchgear are analyzed. After that, the probe is designed with an electric small loop structure. Based on its equivalent circuit, its measurement principle and amplitude frequency characteris

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Kozioł, Michał, Łukasz Nagi, Tomasz Boczar, and Zbigniew Nadolny. "Quantitative Analysis of Surface Partial Discharges through Radio Frequency and Ultraviolet Signal Measurements." Energies 16, no. 9 (2023): 3641. http://dx.doi.org/10.3390/en16093641.

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In high voltage insulation systems, dielectric materials may be exposed to partial discharges (PD), which can lead to equipment failures and safety hazards. Therefore, it is crucial to detect and characterize PD activity on the surface of insulation systems. Techniques such as radio frequency signal analysis and ultraviolet radiation emission detection are commonly used for this purpose. In this research study, an analysis was conducted on the signals emitted by surface PD in the radio frequency and ultraviolet radiation emission ranges. The goal was to indicate possible directions for further

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Yang, Yan, Xiao Feng Chen, and Qing Liu. "Development of GIS PD Location System Based on LabVIEW." Advanced Materials Research 1044-1045 (October 2014): 1469–72. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1469.

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On-line detecting partial discharge inside GIS and locating the source of partial discharge spatially can discover the premonition of GIS insulation defects. This article introduces a system for partial discharge on-line detection and source locating, which is based on the hardware consisting essentially of ultrasonic sensors, prepositive signal amplifiers, a TDS3034C oscilloscope and a laptop. The system is a virtual instrument based on LabVIEW platform, and it can sample the ultrasonic signals generated by partial discharge in real time, and provide a friendly human-computer interaction inte

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Z. Abdullah, A., M. Isa, S. N. M. Arshad, et al. "Wavelet based de-noising for on-site partial discharge measurement signal." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 1 (2019): 259. http://dx.doi.org/10.11591/ijeecs.v16.i1.pp259-266.

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<span>This paper presents, wavelet based de-noising technique for on-site partial discharge (PD) measurement signal. The signal is measured from medium voltage power cable at 11 kV distribution substation. The best mother wavelet, decomposition level and the type of threshold for the de-noising technique are selected based on the signal to noise ratio (SNR) aggregation. The SNR aggregation is determined based on the minimum, maximum, mean and standard deviation parameters. The same standard de-noising procedure is applied for two different PD signals and the selection parameters are done

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Pereira, José Carlos, Arthur Oscar Schelp, Arlindo Neto Montagnoli, Ana Rita Gatto, André Augusto Spadotto, and Lídia Raquel de Carvalho. "Residual signal auto-correlation to evaluate speech in Parkinson’s disease patients." Arquivos de Neuro-Psiquiatria 64, no. 4 (2006): 912–15. http://dx.doi.org/10.1590/s0004-282x2006000600004.

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OBJECTIVE: To evaluate the maximum residual signal auto-correlation also known as pitch amplitude (PA) values in patients with Parkinson’s disease (PD) patients. METHOD: The signals of 21 Parkinson’s patients were compared with 15 healthy individuals, divided according age and gender. RESULTS: Statistical difference was seen between groups for PA, 0.39 for controls and 0.25 for PD. Normal value threshold was set as 0.3; (p<0.001). In the Parkinson’s group 80.77%, and in the control group only 12.28%, had a PA<0.3 demonstrating an association between these variables. The dispersion diagra

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Yang, Jing Gang, Yong Yong Jia, Zhi Cheng Zhou, and Jun Hao Li. "The Measurement System of Partial Discharge under Impulse Voltage." Applied Mechanics and Materials 543-547 (March 2014): 1046–49. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1046.

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Partial discharge (PD) is the important detection parameter for power equipment, with the development of high voltage test technology, PD detection under impulse voltage is more attention. In order to detect the partial discharge signal under the impulse voltage, this paper designs a high-frequency current sensor and broadband measurement impedance. A set of partial discharge measurement system under impulse voltage is built up. The frequency characteristics of current sensor and measurement impedance are detected. In order to test the measurement system, the PD signals of a needle defect unde

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Samaitis, Vykintas, Liudas Mažeika, Audrius Jankauskas, and Regina Rekuvienė. "Detection and Localization of Partial Discharge in Connectors of Air Power Lines by Means of Ultrasonic Measurements and Artificial Intelligence Models." Sensors 21, no. 1 (2020): 20. http://dx.doi.org/10.3390/s21010020.

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According to the statistics, 40% of unplanned disruptions in electricity distribution grids are caused by failure of equipment in high voltage (HV) transformer substations. These damages in most cases are caused by partial discharge (PD) phenomenon which progressively leads to false operation of equipment. The detection and localization of PD at early stage can significantly reduce repair and maintenance expenses of HV assets. In this paper, a non-invasive PD detection and localization solution has been proposed, which uses three ultrasonic sensors arranged in an L shape to detect, identify an

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Xie, Qing, Dan Liu, Ying Zhang, et al. "Application Research of the Sparse Representation of Eigenvector on the PD Positioning in the Transformer Oil." International Journal of Antennas and Propagation 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/1343194.

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The partial discharge (PD) detection of electrical equipment is important for the safe operation of power system. The ultrasonic signal generated by the PD in the oil is a broadband signal. However, most methods of the array signal processing are used for the narrowband signal at present, and the effect of some methods for processing wideband signals is not satisfactory. Therefore, it is necessary to find new broadband signal processing methods to improve detection ability of the PD source. In this paper, the direction of arrival (DOA) estimation method based on sparse representation of eigenv

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Fang, Weixing, Guojin Chen, Wenxin Li, et al. "A PRPD-Based UHF Filtering and Noise Reduction Algorithm for GIS Partial Discharge." Sensors 23, no. 15 (2023): 6763. http://dx.doi.org/10.3390/s23156763.

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The online detection of partial discharge (PD) in gas-insulated switchgear (GIS) is a crucial and powerful tool for maintaining their reliability. However, extracting weak discharge signals from strong disturbances is a significant challenge. The presence of noise can hamper the identification and localization of PD types, making the extraction of pure PD signals the focus of current research. This paper proposes a PRPD-based PD filtering algorithm that analyzes interference using the output information from PRPD and sets threshold parameters for noise reduction processing. This method is main

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Zhang, Fei, Jiao Fu, and Jie Li. "The Propagation Characteristics of Partial Discharge Signals in Enclose Busbar." Applied Mechanics and Materials 260-261 (December 2012): 420–25. http://dx.doi.org/10.4028/www.scientific.net/amm.260-261.420.

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Time-domain waveform of partial discharge (PD) signals of generator stator is distorted in enclosed busbar by the influence of distribution parameters of electrical equipment and different connection structure of enclose busbar. To research propagation characteristics of PD signals, a model of enclosed busbar between generator busbar exports and main transformer is established by using EMTP-ATP software. To analyze the propagation characteristics of time-domain waveform, voltage and current wave of PD signals are simulated. Voltage wave and current wave will be carried out fast fourier transfo

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Xie, Hong Ling, Bo Yi Shen, Fei Long Wang, and Yan Qing Li. "Research on Method for Obtaining Time Difference of Localization of Transformer PD Source." Applied Mechanics and Materials 291-294 (February 2013): 2222–27. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.2222.

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Ultrasonic positioning accuracy of transformer partial discharge is not high. The main reason is that it is difficult to obtain accurate time difference of the ultrasonic signals reaching two different sensors, especially when the signal-to-noise ratio is not high enough. To solve this problem, Hilbert-Huang transform (HHT) is applied in signal processing to extract the precise moment, and in this way the precise time difference is easily obtained. The signal-to-noise ratio (SNR) of received signal is low, and even worse PD signal is drowned in the strong interference signal. For this, the met

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Maheswari, R. V., B. Vigneshwaran, and L. Kalaivani. "Genetic algorithm based automated threshold estimation in translation invariant wavelet transform for denoising PD signal." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 34, no. 4 (2015): 1252–69. http://dx.doi.org/10.1108/compel-12-2014-0332.

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Purpose – The purpose of this paper is to investigate the condition of insulation in high-voltage equipments using partial discharge (PD) measurements. It proposes the methods to eliminate several noises like white noise, random noise and discrete spectral interferences which severely pollutes the PD signals. The study aims to remove these noises from the PD signal effectively by preserving the signal features. Design/methodology/approach – This paper employs fast Fourier transform, discrete wavelet transform and translational invariant wavelet transform (TIWT) for denoising the PD signals. Th

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Lu, Jia, Xiaoxing Zhang, and Hao Xiong. "A New Method for Suppressing Periodic Narrowband Interference Based on the Chaotic van der Pol Oscillator." International Journal of Bifurcation and Chaos 25, no. 09 (2015): 1550120. http://dx.doi.org/10.1142/s0218127415501205.

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The chaotic van der Pol oscillator is a powerful tool for detecting defects in electric systems by using online partial discharge (PD) monitoring. This paper focuses on realizing weak PD signal detection in the strong periodic narrowband interference by using high sensitivity to the periodic narrowband interference signals and immunity to white noise and PD signals of chaotic systems. A new approach to removing the periodic narrowband interference by using a van der Pol chaotic oscillator is described by analyzing the motion characteristic of the chaotic oscillator on the basis of the van der

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Hou, Shan Shan, Qing Xie, Le Xian Shi, and Wei Tao Hu. "Research on Direct Wave Separation of PD Ultrasonic Signal Based on ICA." Advanced Materials Research 734-737 (August 2013): 2819–23. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.2819.

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For partial discharge of transformer ultrasonic detection method exists positioning accuracy problems, the main reason mostly due to the time delay selected error is analyzed, while the main reason for time delay selected error is due to the transformer PD ultrasonic signal propagation which is extremely complex, the signals received by the ultrasonic sensor are the direct wave, non-direct wave and a mixture of all kinds of noise superimposed, so in order to improve positioning accuracy the correct separation of the direct waves time delay is important, this paper proposes a method of transfor

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Jia, Rong, Yongtao Xie, Hua Wu, Jian Dang, and Kaisong Dong. "Power Transformer Partial Discharge Fault Diagnosis Based on Multidimensional Feature Region." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/4835694.

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Effectively extracting power transformer partial discharge (PD) signals feature is of great significance for monitoring power transformer insulation condition. However, there has been lack of practical and effective extraction methods. For this reason, this paper suggests a novel method for the PD signal feature extraction based on multidimensional feature region. Firstly, in order to better describe differences in each frequency band of fault signals, empirical mode decomposition (EMD) and Hilbert-Huang transform (HHT) band-pass filter wave for raw signal is carried out. And the component of

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Dhandapani, Ragavesh, Imene Mitiche, Scott McMeekin, Venkateswara Sarma Mallela, and Gordon Morison. "Enhanced Partial Discharge Signal Denoising Using Dispersion Entropy Optimized Variational Mode Decomposition." Entropy 23, no. 12 (2021): 1567. http://dx.doi.org/10.3390/e23121567.

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This paper presents a new approach for denoising Partial Discharge (PD) signals using a hybrid algorithm combining the adaptive decomposition technique with Entropy measures and Group-Sparse Total Variation (GSTV). Initially, the Empirical Mode Decomposition (EMD) technique is applied to decompose a noisy sensor data into the Intrinsic Mode Functions (IMFs), Mutual Information (MI) analysis between IMFs is carried out to set the mode length K. Then, the Variational Mode Decomposition (VMD) technique decomposes a noisy sensor data into K number of Band Limited IMFs (BLIMFs). The BLIMFs are sepa

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Bu, Xia, Melissa Bu, Ping Hua, Baogong Zhu, Arlene H. Sharpe, and Gordon J. Freeman. "Intracellular Signaling triggered by engagement of PD-1 by PD-L1." Journal of Immunology 204, no. 1_Supplement (2020): 78.24. http://dx.doi.org/10.4049/jimmunol.204.supp.78.24.

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Abstract Blockade of PD-1/PD-L1 is in effective anti-tumor immunotherapy. To further elucidate the mechanism by which PD-1/PD-L1 engagement causes T cell dysfunction, we investigated intracellular signaling triggered by PD-1/PD-L1 ligation in T cells. We describe a novel antibody that detects PD-1 signaling. This antibody detects phosphorylation of the immunotyrosine switch motif (ITSM) in the intracellular tail of both human and mouse PD-1 (phospho-PD-1). We first examined the expression of PD-1 and phosphorylated PD-1 in T cells from human PBMC. We found that without CD3 and CD28 mAb stimula

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Zhang, Deyi, Xiujie Sun, Harshita B. Gupta, Ryan M. Reyes, Robert S. Svatek, and Tyler J. Curiel. "Cell-intrinsic PD-L1 and PD-1 signal effects in bladder cancer." Journal of Immunology 200, no. 1_Supplement (2018): 166.27. http://dx.doi.org/10.4049/jimmunol.200.supp.166.27.

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Abstract PD-1/PD-L1 provides a mechanism of immune escape, the blockage of which has reinvigorated interest in the treatment of urothelial cancer. We recently reported on cell-intrinsic PD-L1 effects in melanoma and ovarian cancer, and considered that effects in bladder cancer cells could differ based on distinct mutational landscapes. Using CRISPER/Cas9 methodology, we knockout PD-L1 in the murine bladder cancer cell line MB49 and the human bladder caner cell line RT. We show here that cell-intrinsic MB49 and RT4 cells express PD-L1 and PD-1 that each mediate cell-intrinsic signals. PD-L1 kno

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Dong, Yue, Yong Qian, Hai Feng Ye, and Xiu Chen Jiang. "FEM Simulation of PD Acoustic Signal Propagation in Transformers." Applied Mechanics and Materials 448-453 (October 2013): 2278–85. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2278.

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In order to study propagation process of partial discharge ultrasonic signal in power transformer, the finite element method is used for simulation modeling and calculation. Ultrasonic waves can be activated by partial discharges (PD) in power transformers. The ultrasonic method is used for evaluating the insulation condition of power transformers by analyzing the partial discharge signals information which is detected by AE sensors. Compared with other diagnostic methods the AE method causes relatively low disturbance, and measuring apparatus is simple and easy to use. This technique is nonin

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Yun, Yuxin, Guangke Xu, Weiwei Zhang, Xing Li, and Lingying Chen. "Simulation Analysis on Partial Discharge Signals Produced by Multiple Insulation Defects in GIS." E3S Web of Conferences 165 (2020): 06040. http://dx.doi.org/10.1051/e3sconf/202016506040.

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In this paper, the simulation analysis on partial discharge (PD) signals produced by multiple insulation defects in gas insulated substation (GIS) has been researched by the simulation software of electromagnetic field (XFDTD). The theoretical analysis and simulation results show that the single partial discharge signal is the linear convolution of the partial discharge current signal and its corresponding impact response in GIS. The mixed partial discharge signals are the linear mixtures of every partial discharge signal.

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Sun, Zhiyong, Chunjuan Shi, and Hailin Tian. "Simulation and analysis of partial pulse remained jamming to HPRF PD radar." MATEC Web of Conferences 355 (2022): 03049. http://dx.doi.org/10.1051/matecconf/202235503049.

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To solve the problem that the duty cycle of HPRF PD radar is not easy to use the general tow-and-pull jamming, a method of partial pulse remained jamming is proposed. Taking the transmitting signal of PD radar acquired by DRFM as an example, the jamming effect of the signal is simulated and analyzed. The results show that the jamming signal is modulated by the radar signal acquired by DRFM, the jamming signal generated has a strong correlation with the target Echo Signal, and it can effectively jam the HPRF PD radar with less power, which proves the effectiveness of the method.

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Alemami, Yahia, and Laiali Almazaydeh. "Pathological Voice Signal Analysis Using Machine Learning Based Approaches." Computer and Information Science 11, no. 1 (2017): 8. http://dx.doi.org/10.5539/cis.v11n1p8.

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Voice signal analysis is becoming one of the most significant examination in clinical practice due to the importance of extracting related parameters to reflect the patient's health. In this regard, various acoustic studies have been revealed that the analysis of laryngeal, respiratory and articulatory function may be efficient as an early indicator in the diagnosis of Parkinson disease (PD). PD is a common chronic neurodegenerative disorder, which affects a central nervous system and it is characterized by progressive loss of muscle control. Tremor, movement and speech disorders are the main

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Yang, Yuan, Jian Gang Bi, Hong Jie Wang, and Nan Meng. "Study of the Ultrasonic Characteristics of Typical Partial Discharge on GIS." Advanced Materials Research 753-755 (August 2013): 2200–2207. http://dx.doi.org/10.4028/www.scientific.net/amr.753-755.2200.

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This Paper studied the typical PD in GIS by ultrasonic method. A GIS PD simulating and testing system is established, including a PD simulating system, an ultrasonic detecting system and a conventional pulse current method measurement system. The thesis focuses on four typical kinds of PD signals in GIS, including metal particles, bad contacts on high and grounding potential conductor, the protrusion on the high potential conductor. The statistics characteristics are obtained which include N-Φ spectrogram (relationship between discharge frequency and discharge phase Spectrogram) and Umax-Φ spe

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Wang, Yulong, Xiaohong Zhang, Yancheng Li, Lili Li, Junguo Gao, and Ning Guo. "Multi-Scale Analysis and Pattern Recognition of Ultrasonic Signals of PD in a Liquid/Solid Composite of an Oil-Filled Terminal." Energies 13, no. 2 (2020): 366. http://dx.doi.org/10.3390/en13020366.

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In order to analyze the partial discharge (PD) characteristics of a liquid/solid composite medium in an oil-filled submarine cable terminal; we have designed five discharge models including needle-plate, plate-to-plate air gap, surface, slide-flash and suspension potential. At the same time, the ultrasonic signals of PD have been extracted through the typical fault model research platform of oil-filled submarine cable equipment. First, we use SureShrink threshold wavelet denoising to suppress the ultrasonic signal noise. Secondly, through the multi-scale analysis of the signal, the energy dist

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