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Relevant bibliographies by topics / Component separation technique

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Academic literature on the topic 'Component separation technique'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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Journal articles on the topic "Component separation technique"

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Mandeville, A. N. "Insights gained from four component hydrograph separation." Hydrology Research 47, no. 3 (February 24, 2016): 606–18. http://dx.doi.org/10.2166/nh.2016.061.

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Traditional hydrograph separation techniques split an observed storm hydrograph into two main components representing ‘storm runoff’ and ‘baseflow’. In this paper a new separation technique is described which makes an initial split into two main components, quickflow and slowflow, which are each then subsequently split into two further subcomponents. The resulting procedure is termed the ‘four component hydrograph separation technique’. Various ways of recombining these four subcomponents to build up a curve that represents the observed storm hydrograph are possible, of which two ways are examined in further detail. If it is assumed that the four component separation technique provides a promising representation of an observed storm hydrograph, these two ways allow theoretical and practical insights to be gained into four existing hydrograph separation techniques. A conclusion, common to all four, is that much more care is required in naming the flow lines separating out each of the suggested subcomponents making up the observed storm hydrograph. This paper also emphasises the key role played by the slowflow storm runoff subcomponent, which has not been given sufficient prominence in existing event-based models in the past. A procedure for estimating each of the four subcomponents is illustrated for an observed event.

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Giurgius, M., L. Bendure, D. L. Davenport, and J. S. Roth. "The endoscopic component separation technique for hernia repair results in reduced morbidity compared to the open component separation technique." Hernia 16, no. 1 (August 11, 2011): 47–51. http://dx.doi.org/10.1007/s10029-011-0866-1.

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Bleichrodt, Robert P., Tammo S. de Vries Reilingh, Arian Malyar, Harm van Goor, Birgitta Hansson, and Berendina van der Kolk. "Component separation technique to repair large midline hernias." Operative Techniques in General Surgery 6, no. 3 (September 2004): 179–88. http://dx.doi.org/10.1053/j.optechgensurg.2004.07.001.

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Kabuli, N., P. Malone, and G. Offer. "Component separation- An evolving technique, a leicester experience." International Journal of Surgery 55 (July 2018): S88. http://dx.doi.org/10.1016/j.ijsu.2018.05.419.

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Irene, Mutua, and Swaleh Shahbal. "Repair of giant omphalocele by component separation technique." Journal of Pediatric Surgery Case Reports 42 (March 2019): 32–33. http://dx.doi.org/10.1016/j.epsc.2018.12.015.

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Goda, Ashraf, Mohamed Nasr, Osama H. Gharib, and Mostafa B. Mohamed. "Component separation technique for closure of burst abdomen." Ain Shams Journal of Surgery 12, no. 1 (January 1, 2014): 1–10. http://dx.doi.org/10.21608/asjs.2014.179586.

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Singh, Yogesh, and C. S. Rai. "An independent component analysis technique for blind source separation." Journal of Interdisciplinary Mathematics 5, no. 3 (January 2002): 231–41. http://dx.doi.org/10.1080/09720502.2002.10700319.

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Vassiliou, Menelaos, and Mimis Cohen. "Abdominal Wall Reconstruction with Component Separation Technique in Children." Plastic and Reconstructive Surgery 116, Supplement (September 2005): 123–25. http://dx.doi.org/10.1097/00006534-200509011-00102.

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Mirzabeigi, MN, I. Valerio, and G. Stofman. "187C: A NOVEL MINIMALLY INVASIVE TECHNIQUE FOR COMPONENT SEPARATION." Plastic and Reconstructive Surgery 125, Supplement (June 2010): 123. http://dx.doi.org/10.1097/01.prs.0000371921.65391.50.

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Shih, P. K. "Difficult abdominal wall closure: component separation versus partition technique." Hernia 19, no. 2 (March 25, 2014): 301–5. http://dx.doi.org/10.1007/s10029-014-1238-4.

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Dissertations / Theses on the topic "Component separation technique"

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Haigh, Abigail. "An investigation of principal component analysis as a computational technique for separation of atrial and ventricular ECG activities." Thesis, University of Newcastle Upon Tyne, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519559.

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Scruby, Gavin John. "Statistical and neural network techniques for independent component analysis and latent variable applications." Thesis, Royal Holloway, University of London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313402.

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Wedekind, Daniel, Alexander Trumpp, Frederik Gaetjen, Stefan Rasche, Klaus Matschke, Hagen Malberg, and Sebastian Zaunseder. "Assessment of blind source separation techniques for video-based cardiac pulse extraction." SPIE, 2017. https://tud.qucosa.de/id/qucosa%3A35267.

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Blind source separation (BSS) aims at separating useful signal content from distortions. In the contactless acquisition of vital signs by means of the camera-based photoplethysmogram (cbPPG), BSS has evolved the most widely used approach to extract the cardiac pulse. Despite its frequent application, there is no consensus about the optimal usage of BSS and its general benefit. This contribution investigates the performance of BSS to enhance the cardiac pulse from cbPPGs in dependency to varying input data characteristics. The BSS input conditions are controlled by an automated spatial preselection routine of regions of interest. Input data of different characteristics (wavelength, dominant frequency, and signal quality) from 18 postoperative cardiovascular patients are processed with standard BSS techniques, namely principal component analysis (PCA) and independent component analysis (ICA). The effect of BSS is assessed by the spectral signal-tonoise ratio (SNR) of the cardiac pulse. The preselection of cbPPGs, appears beneficial providing higher SNR compared to standard cbPPGs. Both, PCA and ICA yielded better outcomes by using monochrome inputs (green wavelength) instead of inputs of different wavelengths. PCA outperforms ICA for more homogeneous input signals. Moreover, for high input SNR, the application of ICA using standard contrast is likely to decrease the SNR.

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CHAUHAN, SHASHANK. "Parameter Estimation and Signal Processing Techniques for Operational Modal Analysis." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1204829186.

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Knight, S. J. "Separation and identification of RA2000 photographic developing solution components using LC, LC-MS and LC-MS-MS techniques." Thesis, Swansea University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.637812.

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The analysis of photographic developing solutions presents an interesting and challenging problem for the analytical chemist. The developing agents themselves contain a wide range of components of various different chemistries, both inorganic and organic components are present at a wide range of concentrations. The developing agents as well has having a complex chemistry of their own, on use, are further complicated by the formation of products which can further affect the developing solutions performance. This work uses a variety of chromatographic and mass spectrometric techniques to examine a range of compounds present in the black and white Kodak developer RA2000. Emphasis is given to the application of these techniques to solving the analytical problem. The first chapter gives a theoretical introduction to mass spectrometry and liquid chromatography, with a discussion on the general principles in interfacing the two techniques. Chapter two gives a theoretical introduction to photography as well as an in depth discussion of developing solutions, specifically the RA2000 black and white developing solution. Analysis of RA2000 by liquid chromatography and capillary electrophoresis is also described. Chapter three provides an in depth discussion of solid phase extraction techniques as an alternative sample preparation method to liquid / liquid solvent extraction. Analysis of RA2000 by solid phase extraction and liquid chromatography was carried out in an attempt to concentrate the components formed after use, as well as to try and separate out the heavily concentrated compounds. Chapter four describes the analysis of RA2000 by liquid chromatography-thermospray-mass spectrometry and liquid chromatography-particle beam-mass spectrometry. An in depth discussion of both techniques is given. A column switching arrangement was used to allow analysis of the lower concentration components.

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Maurandi, Victor. "Algorithmes pour la diagonalisation conjointe de tenseurs sans contrainte unitaire. Application à la séparation MIMO de sources de télécommunications numériques." Thesis, Toulon, 2015. http://www.theses.fr/2015TOUL0009/document.

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Cette thèse développe des méthodes de diagonalisation conjointe de matrices et de tenseurs d’ordre trois, et son application à la séparation MIMO de sources de télécommunications numériques. Après un état, les motivations et objectifs de la thèse sont présentés. Les problèmes de la diagonalisation conjointe et de la séparation de sources sont définis et un lien entre ces deux domaines est établi. Par la suite, plusieurs algorithmes itératifs de type Jacobi reposant sur une paramétrisation LU sont développés. Pour chacun des algorithmes, on propose de déterminer les matrices permettant de diagonaliser l’ensemble considéré par l’optimisation d’un critère inverse. On envisage la minimisation du critère selon deux approches : la première, de manière directe, et la seconde, en supposant que les éléments de l’ensemble considéré sont quasiment diagonaux. En ce qui concerne l’estimation des différents paramètres du problème, deux stratégies sont mises en œuvre : l’une consistant à estimer tous les paramètres indépendamment et l’autre reposant sur l’estimation indépendante de couples de paramètres spécifiquement choisis. Ainsi, nous proposons trois algorithmes pour la diagonalisation conjointe de matrices complexes symétriques ou hermitiennes et deux algorithmes pour la diagonalisation conjointe d’ensembles de tenseurs symétriques ou non-symétriques ou admettant une décomposition INDSCAL. Nous montrons aussi le lien existant entre la diagonalisation conjointe de tenseurs d’ordre trois et la décomposition canonique polyadique d’un tenseur d’ordre quatre, puis nous comparons les algorithmes développés à différentes méthodes de la littérature. Le bon comportement des algorithmes proposés est illustré au moyen de simulations numériques. Puis, ils sont validés dans le cadre de la séparation de sources de télécommunications numériques
This thesis develops joint diagonalization of matrices and third-order tensors methods for MIMO source separation in the field of digital telecommunications. After a state of the art, the motivations and the objectives are presented. Then the joint diagonalisation and the blind source separation issues are defined and a link between both fields is established. Thereafter, five Jacobi-like iterative algorithms based on an LU parameterization are developed. For each of them, we propose to derive the diagonalization matrix by optimizing an inverse criterion. Two ways are investigated : minimizing the criterion in a direct way or assuming that the elements from the considered set are almost diagonal. Regarding the parameters derivation, two strategies are implemented : one consists in estimating each parameter independently, the other consists in the independent derivation of couple of well-chosen parameters. Hence, we propose three algorithms for the joint diagonalization of symmetric complex matrices or hermitian ones. The first one relies on searching for the roots of the criterion derivative, the second one relies on a minor eigenvector research and the last one relies on a gradient descent method enhanced by computation of the optimal adaptation step. In the framework of joint diagonalization of symmetric, INDSCAL or non symmetric third-order tensors, we have developed two algorithms. For each of them, the parameters derivation is done by computing the roots of the considered criterion derivative. We also show the link between the joint diagonalization of a third-order tensor set and the canonical polyadic decomposition of a fourth-order tensor. We confront both methods through numerical simulations. The good behavior of the proposed algorithms is illustrated by means of computing simulations. Finally, they are applied to the source separation of digital telecommunication signals

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Raguet, Hugo. "A Signal Processing Approach to Voltage-Sensitive Dye Optical Imaging." Thesis, Paris 9, 2014. http://www.theses.fr/2014PA090031/document.

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L’imagerie optique par colorant potentiométrique est une méthode d’enregistrement de l’activité corticale prometteuse, mais dont le potentiel réel est limité par la présence d’artefacts et d’interférences dans les acquisitions. À partir de modèles existant dans la littérature, nous proposons un modèle génératif du signal basé sur un mélange additif de composantes, chacune contrainte dans une union d’espaces linéaires déterminés par son origine biophysique. Motivés par le problème de séparation de composantes qui en découle, qui est un problème inverse linéaire sous-déterminé, nous développons : (1) des régularisations convexes structurées spatialement, favorisant en particulier des solutions parcimonieuses ; (2) un nouvel algorithme proximal de premier ordre pour minimiser efficacement la fonctionnelle qui en résulte ; (3) des méthodes statistiques de sélection de paramètre basées sur l’estimateur non biaisé du risque de Stein. Nous étudions ces outils dans un cadre général, et discutons leur utilité pour de nombreux domaines des mathématiques appliqués, en particulier pour les problèmes inverses ou de régression en grande dimension. Nous développons par la suite un logiciel de séparation de composantes en présence de bruit, dans un environnement intégré adapté à l’imagerie optique par colorant potentiométrique. Finalement, nous évaluons ce logiciel sur différentes données, synthétiques et réelles, montrant des résultats encourageants quant à la possibilité d’observer des dynamiques corticales complexes
Voltage-sensitive dye optical imaging is a promising recording modality for the cortical activity, but its practical potential is limited by many artefacts and interferences in the acquisitions. Inspired by existing models in the literature, we propose a generative model of the signal, based on an additive mixtures of components, each one being constrained within an union of linear spaces, determined by its biophysical origin. Motivated by the resulting component separation problem, which is an underdetermined linear inverse problem, we develop: (1) convex, spatially structured regularizations, enforcing in particular sparsity on the solutions; (2) a new rst-order proximal algorithm for minimizing e›ciently the resulting functional; (3) statistical methods for automatic parameters selection, based on Stein’s unbiased risk estimate.We study thosemethods in a general framework, and discuss their potential applications in variouselds of applied mathematics, in particular for large scale inverse problems or regressions. We develop subsequently a soŸware for noisy component separation, in an integrated environment adapted to voltage-sensitive dye optical imaging. Finally, we evaluate this soŸware on dišerent data set, including synthetic and real data, showing encouraging perspectives for the observation of complex cortical dynamics

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Huang, Ming-Chuan, and 黃銘川. "A Study of Heart Sound and Lung Sound Separation by Independent Component Analysis Technique." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/16953696944510858053.

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碩士
國立臺灣大學
電機工程學研究所
94
In hospital, physician examine emphasizes with percussion and auscultations; and auscultation is the most common way for physical exam. Recently, in order to develop Tele-medicine and Home care system and to assist physician can have more correct diagnose by auscultation; electric stethoscope and computer analysis have become an inevitable trend. However, two physical signals which include with Heart sound and lung sound are both appear from chest and also have some overlapped spectrum diagram. So, in order avoid to users misplace or untrained of stethoscope using and makes these two sounds will effect each other during with computer analysis; to separate heart sound and lung sound become necessary and important. Independent component analysis (also called ICA) is an algorithm which developed from 1990; it can separate two sounds even above efficiency. In this paper, we use two microphones to collect signals from left and right chest. And we have successfully divide heart and lung sounds by Fast ICA algorithm. And it can assist physician examine and also using on Tele-medicine and Home care by this way.

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ZHANG, YAO-TING, and 曾耀庭. "The Improved Study of Singing-voice Separation Technique Based on Robust Principal Component Analysis." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/4qd27n.

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碩士
國立高雄第一科技大學
電腦與通訊工程系碩士班
105
A singing voice has a lot of useful information for a song, such as: singer voice, lyrics, emotions and song theme, etc. In recent years, research on singing-voice separation has become mature and multifaceted, but from the perfect separation, there is still some distance. In this thesis, we propose to apply robust principal component analysis and adjust the gain parameter for songs with different singing to accompaniment ratio, We also observe the defects of this analysis and improve it. In the experimental part, we used the MIR-1K database with different gender and singing to accompaniment ratio to verify the effectiveness of improved method, The results show that proposed method can improve the robust principal component analysis.

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Thiessen, Andreas. "Die Komponentenseparationstechnik – Analyse der klinischen Ergebnisse anhand einer systematischen Literaturübersicht und der Daten des deutschen Herniamed-Registers." Doctoral thesis, 2021. http://hdl.handle.net/21.11130/00-1735-0000-0005-15A3-B.

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Books on the topic "Component separation technique"

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ICA 2004 (2004 Granada, Spain). Independent component analysis and blind signal separation: Fifth international conference, ICA 2004, Granada, Spain, September 22-24, 2004 : proceedings. Berlin: Springer, 2004.

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Tülay, Adali, ed. Independent component analysis and signal separation: 8th International Conference, ICA 2009, Paraty, Brazil, March 15 - 18, 2009 proceedings. Berlin: Springer, 2009.

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E, Davies Mike, ed. Independent component analysis and signal separation: 7th international conference, ICA 2007, London, UK, September 9-12, 2007 : proceedings. Berlin: Springer, 2007.

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(Editor), Carlos G. Puntonet, and Alberto Prieto (Editor), eds. Independent Component Analysis and Blind Signal Separation: Fifth International Conference, ICA 2004, Granada, Spain, September 22-24, 2004, Proceedings (Lecture Notes in Computer Science). Springer, 2004.

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Martin, Keith M. Key Management. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198788003.003.0010.

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This chapter provides an understanding of the fundamental principles behind key management. We consider the typical stages in the lifecycle of a cryptographic key and then review each of these stages in some detail. We discuss the choosing of key lengths and look at different techniques for key generation, including key derivation and generation from components. We then look at different techniques for key establishment, including the use of key hierarchies, key wrapping, and quantum key establishment. We then look at key storage and discuss the role of hardware security modules. We also consider key separation, key change, and key destruction, before closing with a short discussion on governance of key management.

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(Editor), Justinian Rosca, Deniz Erdogmus (Editor), Jose C. Principe (Editor), and Simon Haykin (Editor), eds. Independent Component Analysis and Blind Signal Separation: 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings (Lecture Notes in Computer Science). Springer, 2006.

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Book chapters on the topic "Component separation technique"

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Rodrigues, Gustavo Fernandes, and Hani Camille Yehia. "Limitations of the Spectrum Masking Technique for Blind Source Separation." In Independent Component Analysis and Signal Separation, 621–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00599-2_78.

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Sanchez-Poblador, V., Enric Monte-Moreno, and Jordi Solé-Casals. "ICA as a Preprocessing Technique for Classification." In Independent Component Analysis and Blind Signal Separation, 1165–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_147.

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Lu, Wei, Jian Zhang, Xiaobing Sun, and Kanzo Okada. "A Digital Watermarking Technique Based on ICA Image Features." In Independent Component Analysis and Blind Signal Separation, 906–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30110-3_114.

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Aïssa-El-Bey, Abdeldjalil, Karim Abed-Meraim, and Yues Grenier. "On the Identifiability Testing in Blind Source Separation Using Resampling Technique." In Independent Component Analysis and Blind Signal Separation, 755–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11679363_94.

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Daes, Jorge. "Endoscopic Component Separation Techniques." In Robotic Assisted Hernia Repair, 319–30. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23025-8_20.

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Stigall, Kyle, and John Scott Roth. "Anterior Component Separation Techniques." In Textbook of Hernia, 233–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43045-4_31.

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Daes, Jorge, and David C. Chen. "Endoscopic Component Separation Techniques." In Textbook of Hernia, 243–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43045-4_32.

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Haskins, Ivy N., and Michael J. Rosen. "Component Separation: Options and Techniques." In The Art of Hernia Surgery, 593–602. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72626-7_60.

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Wahid, K. A., M. N. F. Saniman, M. A. Khairul, and I. A. Azid. "Vibration Signal Separation Technique by Using the Combination of Adaptive Filter and Hilbert Transform for Defect Machine Component in Rotating Machinery." In Lecture Notes in Mechanical Engineering, 587–600. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4756-0_52.

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van der Kolk, B. M., T. S. de Vries Reilingh, O. Buyne, and R. P. Bleichrodt. "Components Separation Technique: Pros and Cons." In Hernia Repair Sequelae, 143–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11541-7_19.

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Conference papers on the topic "Component separation technique"

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Leite Ferreira, Paulo Ixtanio, and Glauco Fontgalland. "Separation of overlapped sources using subarray technique and independent component analysis." In 2017 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting. IEEE, 2017. http://dx.doi.org/10.1109/apusncursinrsm.2017.8072500.

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Tan, Chin An, Arvind Gupta, and Shaungqing Li. "Application of Independent Component Analysis for Sound Source Separation." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35834.

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In this paper, experiments on the application of the independent component analysis (ICA) technique to separate unknown source signals are reported. ICA is one of the fastest growing fields in signal processing with applications to speech recognition systems, telecommunications, and biomedical signal processing. It is a data-transformation technique that finds independent sources of activity from linear mixtures of unknown independent sources. The statistical method to measure independence is to find a linear representation of the non-Gaussian data so that the components are as independent as possible and the mutual information between them is minimum. Although extensive simulations have been performed to demonstrate the power of the learning algorithm for the problems of instantaneous mixing and un-mixing of sources, its application to the noise diagnosis and separation in an industrial setting has not been considered. Noise separation in machinery has a strong basis in the “cocktail problem” in which it is difficult to separate/isolate the voice of a person in a room filled with competing voices and noises. The experiments conducted consist of separating several artificially generated sources of noise. Our results demonstrate that ICA can be effectively employed for such kinds of applications. The underdetermined problem in which there are fewer sensors than sources in the ICA formulation is also examined by applying a time-invariant linear transformation of the acquired signals to identify a single source.

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Chien, Jen-Chien, Ming-Chuan Huang, Yue-Der Lin, and Fok-ching Chong. "A Study of Heart Sound and Lung Sound Separation by Independent Component Analysis Technique." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.260223.

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Chien, Jen-Chien, Ming-Chuan Huang, Yue-Der Lin, and Fok-ching Chong. "A Study of Heart Sound and Lung Sound Separation by Independent Component Analysis Technique." In Conference Proceedings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2006. http://dx.doi.org/10.1109/iembs.2006.4398752.

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Bao Feng, Zhu Liang Yu, Zhenghui Gu, and Yuanqing Li. "Identifying activated brain regions from fMRI data based on blind non-negative component separation technique." In 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2012. http://dx.doi.org/10.1109/bhi.2012.6211575.

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Dogan, Sait Melih, and Ozgul Salor. "Music/singing voice separation based on repeating pattern extraction technique and robust principal component analysis." In 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE). IEEE, 2018. http://dx.doi.org/10.1109/iceee2.2018.8391386.

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Grillet, Anne M., Benjamin J. Ash, Carlton F. Brooks, and John A. Emerson. "A Multiscale Approach to Multi-Component Wetting." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-61219.

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Laser scanning confocal microscopy has been applied to study segregation in multi-component wetting. By labeling the two components of a blend with contrasting fluorescent dyes, the approximate local concentration can be determined from the relative fluorescence intensities. As a proof of concept, a coarsely blended mixture was imaged and parameters were adjusted to achieve good spectral separation of the two components. The technique was then applied to a well-blended drop of the two components and one component was observed to segregate to the air interface.

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Pan, Min-Chun, and Shu-Wei Liao. "Dynamic-Signal Characterization of Rotary Machinery Using Improved Gabor Order Tracking Technique." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84358.

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The study proposes an improved Gabor order tracking (GOT) technique to cope with crossing orders that cannot be effectively separated by using the original GOT scheme. The improvement aids both the reconstruction and interpretation of two crossing orders such as a transmission-element- related order component and a structural resonance. The dual function of the Gabor elementary function can affect the precision of tracked order components. Its influence on the computed Gabor expansion coefficients is investigated in the study. For applying the improved GOT in practical works, the separation and extraction of close-order components of vibration signals measured from a transmission-element test bench is illustrated by using both the GOT and Vold-Kalman filtering OT schemes. Additionally, the ranking of noise components from a riding electric scooter is demonstrated.

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Sepehri, A., and K. Farhang. "Approximate Closure Equations for Elastic Contact of Nominally Flat Rough Surfaces." In ASME/STLE 2007 International Joint Tribology Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/ijtc2007-44290.

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A hybrid interactive/optimization technique is used to derive in approximate closed form equations relating contact load to mean plane separation. Equations governing Hertz contact for the interaction of surface asperities are considered in which asperity shoulder-to-shoulder contact results in normal and tangential components of force. The normal component of asperity force is summed statistically to find total normal force between the two surfaces. The tangential component of asperity force, summed statistically, yields zero total force due to the symmetry of the distributed tangential force components. The tangential force over a half-plane corresponding to a select direction is found accounting for the directionality of the tangential component of asperity forces. Two sets of approximate equations are found for each of the normal and half-plane tangential force components. The simplest forms of the approximate equations achieve accuracy to within five (5) percent error, while other forms yield approximation error within 0.2 percent.

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Sepehri, A., and K. Farhang. "Elastic Contact of Nominally Flat Rough Surfaces Containing Micron Scale Roughness." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-43612.

Full text

Abstract:

A hybrid interactive/optimization technique is used to derive in approximate closed form equations relating contact load to mean plane separation. Equations governing Hertz contact for the interaction of surface asperities are considered in which asperity shoulder-to-shoulder contact results in normal and tangential components of force. The normal component of asperity force is summed statistically to find total normal force between the two surfaces. The tangential component of asperity force, summed statistically, yields zero total force due to the symmetry of the distributed tangential force components. The tangential force over a half-plane corresponding to a select direction is found accounting for the directionality of the tangential component of asperity forces. Two sets of approximate equations are found for each of the normal and half-plane tangential force components. The simplest forms of the approximate equations achieve accuracy to within five (5) percent error, while other forms yield approximation error within 0.2 percent.

APA, Harvard, Vancouver, ISO, and other styles

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