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Littérature scientifique sur le sujet « Waveform similarity analysis »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Waveform similarity analysis"

Havrlík, Matouš, Martin Libra, Vladislav Poulek, and Pavel Kouřím. "Analysis of Output Signal Distortion of Galvanic Isolation Circuits for Monitoring the Mains Voltage Waveform." Sensors 22, no. 20 (2022): 7769. http://dx.doi.org/10.3390/s22207769.

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Different methods for galvanically isolated monitoring of the mains voltage waveform were evaluated. The aim was to determine the level of distortion of the output signal relative to the input signal and the suitability of each method for calculating active power values. Six fixtures were tested: two voltage transformers, an electronic circuit with a current transformer, a standalone current transformer, a simple circuit with optocouplers, and a circuit with an A/D-D/A converter with capacitive coupling. The input and output waveforms were mathematically analyzed by three methods: (1) calculat

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Zhou, Shanshan, Jingguang Huang, Yuanning Zhang, and Yulong Li. "A New Criterion for Transformer Excitation Inrush Current Identification Based on the Wasserstein Distance Algorithm." Energies 18, no. 14 (2025): 3872. https://doi.org/10.3390/en18143872.

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To circumvent the computational bottlenecks associated with the intermediate steps (e.g., least squares fitting) in conventional sine wave similarity principles and directly acquire the energy metrics required for stabilized sinusoidal waveform characterization, this study leverages time domain probability distribution theory. From a complementary advantage perspective, a novel transformer inrush current identification criterion is developed using the Wasserstein distance metric. The methodology employs feature discretization to extract target/template signals, transforming them into state vec

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Ino, Takumi, Mina Samukawa, Tomoya Ishida, et al. "Validity of AI-Based Gait Analysis for Simultaneous Measurement of Bilateral Lower Limb Kinematics Using a Single Video Camera." Sensors 23, no. 24 (2023): 9799. http://dx.doi.org/10.3390/s23249799.

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Accuracy validation of gait analysis using pose estimation with artificial intelligence (AI) remains inadequate, particularly in objective assessments of absolute error and similarity of waveform patterns. This study aimed to clarify objective measures for absolute error and waveform pattern similarity in gait analysis using pose estimation AI (OpenPose). Additionally, we investigated the feasibility of simultaneous measuring both lower limbs using a single camera from one side. We compared motion analysis data from pose estimation AI using video footage that was synchronized with a three-dime

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LIU, Tong-tong, Min DAI, and Zhong-yi LI. "ECG waveform similarity analysis based on window-slope representation." Journal of Computer Applications 32, no. 10 (2013): 2969–72. http://dx.doi.org/10.3724/sp.j.1087.2012.02969.

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Iosa, M., A. Cereatti, A. Merlo, I. Campanini, S. Paolucci, and A. Cappozzo. "Assessment of Waveform Similarity in Clinical Gait Data: The Linear Fit Method." BioMed Research International 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/214156.

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The assessment of waveform similarity is a crucial issue in gait analysis for the comparison of kinematic or kinetic patterns with reference data. A typical scenario is in fact the comparison of a patient’s gait pattern with a relevant physiological pattern. This study aims to propose and validate a simple method for the assessment of waveform similarity in terms of shape, amplitude, and offset. The method relies on the interpretation of these three parameters, obtained through a linear fit applied to the two data sets under comparison plotted one against the other after time normalization. Th

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A. Khalil, Mohamed. "Groundwater Classification by Using Fourier Analysis." Global Journal of Earth Science and Engineering 9 (August 22, 2022): 65–73. http://dx.doi.org/10.15377/2409-5710.2022.09.5.

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The article illustrates a statistical technique for the visual representation of geochemical data. Quaternary and Pre-Quaternary groundwater samples from Northern Sinai Peninsula, Egypt, were interpreted statistically using Andrews plots, which use Fourier analysis to transform and represent a set of multivariate data by a waveform pattern. The resulting waveform patterns were classified into low, middle, and high amplitudes, following up the increase in the total dissolved solids of the samples. Comparison with the traditional hydrochemical polygonal Stiff diagrams resulted in a complete matc

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Zheng, Tao, Xinhui Yang, Xingchao Guo, Xingguo Wang, and Chengqi Zhang. "Zero-Sequence Differential Current Protection Scheme for Converter Transformer Based on Waveform Correlation Analysis." Energies 13, no. 7 (2020): 1814. http://dx.doi.org/10.3390/en13071814.

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Through the analysis of the recovery inrush current generated by the external fault removal of the converter transformer, it is pointed out that the zero-sequence current caused by the recovery inrush may result in the saturation of the neutral current transformer (CT), whose measurement distortion contributes to the mis-operation of zero-sequence differential current protection. In this paper, a new scheme of zero-sequence differential current protection based on waveform correlation is proposed. By analyzing the characteristics of zero-sequence current under internal fault, external fault an

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Lukovenkova, Olga, and Alexandra Solodchuk. "Analysis of geoacoustic emission and electromagnetic radiation signals accompanying earthquake with magnitude Mw = 7.5." E3S Web of Conferences 196 (2020): 03001. http://dx.doi.org/10.1051/e3sconf/202019603001.

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The paper is devoted to the analysis of frequency spectra and pulse waveform variety of the geoacoustic and electromagnetic signals recorded on Kamchatka Peninsula at “Karymshina” site during seismically calm and active periods. Signal pre-processing includes pulse detection and their waveforms reconstruction. A frequency spectrum is analyzed using the Adaptive Matching Pursuit algorithm. To study a variety of waveforms, each pulse is encoded by a special descriptive matrix. Then pulse classification based on similarity of the descriptive matrices is performed. Thus, a signal alphabet is forme

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Petersen, G. M., P. Niemz, S. Cesca, V. Mouslopoulou, and G. M. Bocchini. "Clusty, the waveform-based network similarity clustering toolbox: concept and application to image complex faulting offshore Zakynthos (Greece)." Geophysical Journal International 224, no. 3 (2020): 2044–59. http://dx.doi.org/10.1093/gji/ggaa568.

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SUMMARY Clusty is a new open source toolbox dedicated to earthquake clustering based on waveforms recorded across a network of seismic stations. Its main application is the study of active faults and the detection and characterization of faults and fault networks. By using a density-based clustering approach, earthquakes pertaining to a common fault can be recognized even over long fault segments, and the first-order geometry and extent of active faults can be inferred. Clusty implements multiple techniques to compute a waveform based network similarity from maximum cross-correlation coefficie

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Tang, Junlei, Junyang Li, Hu Wang, Yingying Wang, and Geng Chen. "In-Situ Monitoring and Analysis of the Pitting Corrosion of Carbon Steel by Acoustic Emission." Applied Sciences 9, no. 4 (2019): 706. http://dx.doi.org/10.3390/app9040706.

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The acoustic emission (AE) technique was applied to monitor the pitting corrosion of carbon steel in NaHCO3 + NaCl solutions. The open circuit potential (OCP) measurement and corrosion morphology in-situ capturing using an optical microscope were conducted during AE monitoring. The corrosion micromorphology was characterized with a scanning electron microscope (SEM). The propagation behavior and AE features of natural pitting on carbon steel were investigated. After completion of the signal processing, including pre-treatment, shape preserving interpolation, and denoising, for raw AE waveforms

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Thèses sur le sujet "Waveform similarity analysis"

Massa, M. "Waveforms analysis to improve earthquake location procedures: theory and applications." Thesis, 2005. http://hdl.handle.net/2122/5898.

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Nell'analisi di routine di segnali sismici registrati sia da reti fisse sia temporanee è abbastanza comune riconoscere, alle varie stazioni, coppie (doublets) o gruppi (multiplets) di eventi sismici caratterizzati da forme d'onda molto simili. Tali eventi se localizzati in corrispondenza di una ristretta fascia geografica costituiscono, se caratterizzati da comune meccanismo sorgente, quelle che vengono definite “famiglie sismogenetiche” (Tsujiura, 1983). Il riconoscimento di terremoti caratterizzati (se registrati ad una comune stazione) da sismogrammi molto simili consente indagini di dettag

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Kianimajd, Adell. "Analysis of similarity among arterial blood pressure waveforms." Master's thesis, 2016. http://hdl.handle.net/10400.1/10004.

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Dissertação de mestrado, Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2017<br>Time series are an important class of data objects that arise from various sources and their analysis typically involves huge amounts of information requiring usage of data mining techniques. Measuring similarity in long time series plays an important role in searching for similar patterns, classification, clustering, prediction and knowledge discovery. In clinical context any estimation of future values based on its past values can be useful in disease

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Chapitres de livres sur le sujet "Waveform similarity analysis"

Di Salvo, Francesca, Renata Rotondi, and Giovanni Lanzano. "Functional Linear Models for the Analysis of Similarity of Waveforms." In Models for Data Analysis. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15885-8_9.

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Actes de conférences sur le sujet "Waveform similarity analysis"

Stuermer, Karsten, Joern Kummerow, and Serge A. Shapiro. "Waveform similarity analysis at Cotton Valley, Texas." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627524.

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Gao, Chenxiang, Moke Feng, Heming Yan, Chang Lin, Jianzhong Xu, and Chengyong Zhao. "Waveform Similarity Analysis for Nonlinear Components of Metal Oxide Arrester (MOA)." In 2019 4th IEEE Workshop on the Electronic Grid (eGRID). IEEE, 2019. http://dx.doi.org/10.1109/egrid48402.2019.9092641.

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Pan, Zhuojin, Shijie Wu, and Hua Yang. "The waveform similarity measurement study of seeker-eCabin based on wavelet analysis." In 2010 3rd International Congress on Image and Signal Processing (CISP). IEEE, 2010. http://dx.doi.org/10.1109/cisp.2010.5647852.

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Jadhav, Pankaj, Debabrata Datta, and Siddhartha Mukhopadhyay. "Signature Matching For Seismic Signal Identification." In International Conference on Women Researchers in Electronics and Computing. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.114.17.

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Seismic signals can be classified as natural or manmade by matching signature of similar events that have occurred in the past. Waveform matching techniques can be effectively used for discrimination since the events with similar location and focal mechanism have similar waveform irrespective of magnitude. The seismic signals are inherently non-stationary in nature. The analysis of such signals can be best achieved in multiresolution framework by resolving the signal using continuous wavelet transform (CWT) in time-frequency plane. In this paper similarity testing and classification of nuclear

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Walendziuk, Wojciech, Aleksander Sawicki, and Adam Idźkowski. "The supporting method for automatic diagnosis of prostatic hypertrophy." In Biomdlore. VGTU Technika, 2016. http://dx.doi.org/10.3846/biomdlore.2016.13.

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In the paper numerical algorithms used in the automatic diagnosis of prostatic hypertrophy are presented. The liquid flow during urination was applied as a signal that describes the condition of prostate. In order to register the signal, the uroflowmeter was used. Patients were included in a two-step procedure. In the first step, an analysis of signal characteristics, such as maximum and the mean value with the use of Liverpool Nomogram, were performed. Then, the signal was tested for the presence of oscillation. For this purpose, an algorithm that generates the reference signal was created. M

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Cornelio, Janio, Kamaljeet Singh, Emerson Rodrigues, Lorena Bicalho, and Diego Brasil. "Surpassing the Challenges of Cement Evaluation on Pre-Salt Wells." In 2024 SPWLA 65th Annual Symposium. Society of Petrophysicists and Well Log Analysts, 2024. https://doi.org/10.30632/spwla-2024-0026.

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The presalt reservoirs, located in deepwater offshore Brazil, boast vast oil and gas reserves and are characterized by very long and thick evaporite formations, mainly halite and anhydrites with thin layers of carnallite. The geomechanical properties of these layers impose several obstacles to the well construction activities, being one of the most critical to the well annulus barrier placement and the assessment of its integrity by direct verification using wireline logs. This study highlights the substantial effects encountered in acoustic measurements caused by salts’ slowness and delves in

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Shi, C., J. Park, L. Manuel, and M. A. Tognarelli. "A Data-Driven Mode Identification Algorithm for Fatigue Damage Assessment in Instrumented Marine Risers." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-50231.

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A well-established empirical procedure, which we refer to as Weighted Waveform Analysis (WWA), is employed to reconstruct a model riser’s response over its entire length using a limited number of strain measurements. The quality of the response reconstruction is controlled largely by identification of the participating riser response modes (waveforms); hence, mode selection is vital in WWA application. Instead of selecting a set of consecutive riser vibratory modes, we propose a procedure that automatically identifies a set of non-consecutive riser modes that can thus account for higher harmon

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