Relevant bibliographies by topics / PD Signal

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'PD Signal'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "PD Signal"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "PD Signal"

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Tsai, Shu-Jen Steven. "Power Transformer Partial Discharge (PD) Acoustic Signal Detection using Fiber Sensors and Wavelet Analysis, Modeling, and Simulation." Thesis, Virginia Tech, 2002. http://hdl.handle.net/10919/35983.

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In this work, we first analyze the behavior of the acoustic wave from the theoretical point of view using a simplified 1-dimensional model. The model was developed based on the conservation of mass, the conservation of momentum, and the state equation; in addition, the fluid medium obeys Stokes assumption and it is homogeneous, adiabatic and isentropic. Experiment and simulation results show consistency to theoretical calculation. The second part of this thesis focuses on the PD signal analysis from an on-site PD measurement of the in-house design fiber optic sensors (by Virginia Tech, Cent
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Song, Lijun. "Detection and Position Location of Partial Discharges in Transformers Using Fiber Optic Sensors." Thesis, Virginia Tech, 2004. http://hdl.handle.net/10919/35928.

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Power transformers are one of the most important components in the electrical energy network. Extending transformer life is very economically valuable due to power outage. Therefore the development of instruments to monitor the transformer condition is of great interest. Detection of partial discharges (PDs) in power transformers is an effective diagnostic because it may reveal and quantify an important aging factor and provide information on the condition of the transformer. However, partial discharge diagnostics are still not effectively used for online monitoring of transformers because of
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Ortler, Sonja. "Die Bedeutung koinhibitorischer Signale in der ZNS Immunregulation: die Rolle des B7-Homologs B7-H1 (PD-L1)." kostenfrei, 2009. http://www.opus-bayern.de/uni-wuerzburg/volltexte/2009/3478/.

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Carballo-Carbajal, Iria [Verfasser]. "Signal transduction pathways modulated by the PD-causative gene LRRK2 / Iria Carballo-Carbajal." 2009. http://d-nb.info/1001793382/34.

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Shetty, Pradeep Kumar. "Recognition And Retrieval Of Partial Discharges In Power Equipments : A Statistical Signal Modeling And Feature Extraction Approach." Thesis, 2004. https://etd.iisc.ac.in/handle/2005/1182.

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Shetty, Pradeep Kumar. "Recognition And Retrieval Of Partial Discharges In Power Equipments : A Statistical Signal Modeling And Feature Extraction Approach." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1182.

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Wu, Ping-Sheng, and 吳炳昇. "Small-Signal Analysis and Compensator Design of Flyback Converters with Variable-Frequency Peak-Current Control for USB-PD Application." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/vea47a.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>106<br>Flyback converters have been widely adopted in low-power adapters for many portable devices, mainly because of its simplicity and electrical isolation characteristic. In order to achieve high conversion efficiency over the entire load range, the variable-frequency peak-current mode (VFPCM) control scheme is often used in this topology. With this control scheme, the converter switching frequency can be automatically adjusted according to output load level, and therefore, maintains high efficiency under both the heavy-load and the light-load conditions. In this
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Ortler, Sonja [Verfasser]. "Die Bedeutung koinhibitorischer Signale in der ZNS-Immunregulation : die Rolle des B7-Homologs B7-H1 (PD-L1) / vorgelegt von Sonja Ortler." 2009. http://d-nb.info/993436269/34.

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Books on the topic "PD Signal"

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Thien Lim, Thien, and Hubert H. Fernandez. Parkinson Disease. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0003.

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Levodopa is the most efficacious medication to reduce motor impairment in Parkinson disease (PD). The effect of levodopa can wear off after time, which is treated by increasing the dose or shortening the inter-dose interval. Dyskinesias can be treated by a change in levodopa dosing or route of administration, such as by constant administration of levodopa as a gel through a jejunostomy tube or a change to dopamine agonists or amantadine. Non-motor signs including depression can be treated with several antidepressants. Surgical treatments including pallidotomy, thalamotomy, and deep brain stimu
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Book chapters on the topic "PD Signal"

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Shetty, Pradeep Kumar. "A Combined fBm and PPCA Based Signal Model for On-Line Recognition of PD Signal." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11590316_31.

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Shetty, Pradeep Kumar. "A Long Memory Process Based Parametric Modeling and Recognition of PD Signal." In Neural Information Processing. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30499-9_121.

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Guozhi, Zhang, Tian Hanlv, Lu Changyue, and Zhang Xiaoxing. "Feasibility Simulation Study of Simultaneous PD Radiation Ultrasound and UHF Signal Sensing Using a Single Sensor." In The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3404-1_34.

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Guozhi, Zhang, Tian Hanlv, Lu Changyue, and Zhang Xiaoxing. "Feasibility Simulation Study of Simultaneous PD Radiation Ultrasound and UHF Signal Sensing Using a Single Sensor." In The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022). Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3404-1_34.

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Kryukov, Ya V., D. A. Pokamestov, and E. V. Rogozhnikov. "PD-NOMA Power Coefficients Calculation While Using QAM Signals." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36625-4_13.

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Li, Jiefu, Jung-Youn Lee, and Li Liao. "Detecting De Novo Plasmodesmata Targeting Signals and Identifying PD Targeting Proteins." In Computational Advances in Bio and Medical Sciences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-46165-2_1.

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Agba, Basile L., Fabien Sacuto, Minh Au, Fabrice Labeau, and François Gagnon. "Analysis and Modeling of Wideband RF Signals Induced by PD Using Second-Order Statistics." In Wireless Networks. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91328-5_5.

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Belkić, Dževad. "The product-difference (PD) recursive algorithm." In Quantum-Mechanical Signal Processing and Spectral Analysis. CRC Press, 2019. http://dx.doi.org/10.1201/9780429146534-68.

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"Narrowband Probability of Detection (PD) and false Alarm Rates (FAR)." In Signal Processing for Intelligent Sensor Systems. CRC Press, 2000. http://dx.doi.org/10.1201/9780203909959.ch11.

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Cruz, Gloria, Shengdong Nie, and Juan Ramírez. "Diffusion Magnetic Resonance Imaging (MRI)-Biomarkers for Diagnosis of Parkinson’s Disease." In Parkinson’s Disease - Animal Models, Current Therapies and Clinical Trials [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109807.

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Parkinson’s disease (PD) is a degenerative neurological disorder, the origin of which remains unclear. The efficacy of treatments is limited due to the small number of remaining neurons. Diffusion magnetic resonance imaging (MRI) has revolutionized clinical neuroimaging. This noninvasive and quantitative method gathers in vivo microstructural information to characterize pathological processes that modify nervous tissue integrity. The changes in signal intensity result from the motion of the water molecules; they can be quantified by diffusivity measures. Diffusion MRI has revealed “biomarkers” in several brain regions that could be useful for PD diagnosis. These regions include the olfactory tracts, putamen, white matter, superior cerebellar peduncles, middle cerebellar peduncle, pons, cerebellum, and substantia nigra. There are encouraging preliminary data that differentiate PD from atypical parkinsonian diseases based on these microstructural changes.
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Conference papers on the topic "PD Signal"

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Zanini, Rafael Anicet, and Esther Luna Colombini. "Parkinson sEMG signal prediction and generation with Neural Networks." In Concurso de Teses e Dissertações da SBC. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/ctd.2021.15759.

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Parkinson’s Disease (PD) is a neurodegenerative disorder characterized by symptoms like resting and action tremors, which cause severe impairments to the patient’s life. Recently, many assistance techniques have been proposed to minimize the disease’s impact on patients’ life. However, most of these methods depend on data from PD’s surface electromyography (sEMG), which is scarce. In this work, we propose the first methods, based on Neural Networks, for predicting, generating, and transferring the style of patient-specific PD sEMG tremor signals. This dissertation contributes to the area by i)
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Xi Li, Xiaohua Wang, Mingzhe Rong, et al. "Relationship between time-frequency representation of PD-induced UHF signal and PD current pulse." In 2016 International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2016. http://dx.doi.org/10.1109/cmd.2016.7757803.

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Peram, Madhurima, Sandhyarani Mishra, Madhuri Vemulapaty, Bharat Verma, and Prabin K. Padhy. "Optimal PI-PD and I-PD Controller Design Using Cuckoo Search Algorithm." In 2018 5th International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2018. http://dx.doi.org/10.1109/spin.2018.8474214.

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Thelen, Matthew, Fardeen Mazumder, Linda Zhu, Charlotte Tang, and Nathaniel S. Miller. "Reliability Test of Mobile Embedded Accelerometers in Measuring Postural Stability for People With Parkinson’s Disease." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-94806.

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Abstract Parkinson’s Disease (PD) is the second most common neurodegenerative disease in the United States, affecting at least one million people. The cardinal symptoms of PD are tremor, rigidity, slowed movement, and impaired balance. While some symptoms of PD are responsive to anti-PD medications, other symptoms, are less medication responsive, especially walking and balance. Moreover, daily activities, such as writing, using tools, and walking, affect the quality of life (QoL) of people with PD (PwPD). Monitoring PD symptoms is essential for clinical evaluations and adjusting medication to
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Zhang, Guozhi, Changyue Lu, Xingyu Yu, Hanlv Tian, and Xiaoxing Zhang. "Research on Integrated Technology of PD Ultrasonic Signal and UHF Signal Detection." In 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE). IEEE, 2022. http://dx.doi.org/10.1109/ichve53725.2022.9961712.

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Liu, Qi, and Qiang Gao. "Application of Mathematical Morphology in GIS PD Signal Analysis." In 2016 International Conference on Energy, Power and Electrical Engineering. Atlantis Press, 2016. http://dx.doi.org/10.2991/epee-16.2016.52.

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Kodama, Satoshi, Toshihide Yoshimatsu, and Hiroshi Ito. "Monolithic PD-EAM Optical Gates for Ultrafast Signal Processing." In 2003 International Conference on Solid State Devices and Materials. The Japan Society of Applied Physics, 2003. http://dx.doi.org/10.7567/ssdm.2003.a-5-1.

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Su, Yi, Lei Zhang, Shaoming Pan, Xiajin Rao, and Wei Huang. "Signal distortion characteristics of capacitive casing PD electromagnetic waves." In 2023 IEEE 6th International Electrical and Energy Conference (CIEEC). IEEE, 2023. http://dx.doi.org/10.1109/cieec58067.2023.10166279.

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Zhu, Na, and Nathaniel S. Miller. "Assessment of Parkinson’s Disease Tremor and Correlation Analysis With Applied Signal Processing." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10622.

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Abstract Accurate measurement and assessment of Parkinson’s disease (PD) tremor is important for patients, clinicians, and researchers to track changes in disease progression and the effectiveness of therapeutic interventions. This study measured resting, postural, and kinetic tremor from patient’s most-affected hand with accelerometers and gyrometers, thus the linear and rotational motions in the x, y, z directions were obtained. Data were collected when patients were both ON and OFF their anti-PD medications. A bandpass filter was applied to extract raw tremor information and several signal
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Alam, Md Nafiul, Tamanna T. K. Munia, Ajay K. Verma, et al. "A Quantitative Assessment of Bradykinesia Using Inertial Measurement Unit." In 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3543.

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Parkinson’s disease (PD) is a neurodegenerative disorder known to affect movement. Approximately seven million people around the world suffer from PD [1]. Tremor in one hand characterizes the onset of PD. Population suffering with PD shows symptoms of slowed movement. Consequently, PD patients struggle to complete a simple task like picking up a book. This slowness of movement is called bradykinesia. Bradykinesia measurement is vital for monitoring the progression of PD. The current method of assessing bradykinesia requires patients to perform certain motor tasks in clinical settings. A Unifie
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Reports on the topic "PD Signal"

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Epel, Bernard L., Roger N. Beachy, A. Katz, et al. Isolation and Characterization of Plasmodesmata Components by Association with Tobacco Mosaic Virus Movement Proteins Fused with the Green Fluorescent Protein from Aequorea victoria. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573996.bard.

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The coordination and regulation of growth and development in multicellular organisms is dependent, in part, on the controlled short and long-distance transport of signaling molecule: In plants, symplastic communication is provided by trans-wall co-axial membranous tunnels termed plasmodesmata (Pd). Plant viruses spread cell-to-cell by altering Pd. This movement scenario necessitates a targeting mechanism that delivers the virus to a Pd and a transport mechanism to move the virion or viral nucleic acid through the Pd channel. The identity of host proteins with which MP interacts, the mechanism
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