Bibliografías temáticas / Ridge bias

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Literatura académica sobre el tema "Ridge bias"

Autor: Grafiati
Publicado: 30 de noviembre de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Ridge bias"

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DEVITA, HANY, I. KOMANG GDE SUKARSA, and I. PUTU EKA N. KENCANA. "KINERJA JACKKNIFE RIDGE REGRESSION DALAM MENGATASI MULTIKOLINEARITAS." E-Jurnal Matematika 3, no. 4 (2014): 146. http://dx.doi.org/10.24843/mtk.2014.v03.i04.p077.

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Ordinary least square is a parameter estimations for minimizing residual sum of squares. If the multicollinearity was found in the data, unbias estimator with minimum variance could not be reached. Multicollinearity is a linear correlation between independent variabels in model. Jackknife Ridge Regression(JRR) as an extension of Generalized Ridge Regression (GRR) for solving multicollinearity. Generalized Ridge Regression is used to overcome the bias of estimators caused of presents multicollinearity by adding different bias parameter for each independent variabel in least square equation afte
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Tambunan, Ridho Febriansyah, and Suliadi. "Pemodelan New Ridge Regression Estimator pada Tingkat Kemiskinan di Kabupaten/Kota Provinsi Jawa Barat Tahun 2020." Bandung Conference Series: Statistics 2, no. 2 (2022): 317–23. http://dx.doi.org/10.29313/bcss.v2i2.4244.

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Abstract. Linear regression is a statistical method used to predict value dependent variable or response with one or more independent variables. If there is more than one predictor variable, multiple linear regression analysis is used. Ridge regression estimator has been introduced as an alternative to the ordinary least squares estimator (OLS) in the presence of multicollinearity. Ridge regression minimizes the mean square residual by introducing a bias constant and produced biased but stable coefficients estimate. The aim of this research is to apply a method introducing by Al-hassan (2010)
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Xiao, Penghao, Juliana Duncan, Liang Zhang, and Graeme Henkelman. "Ridge-based bias potentials to accelerate molecular dynamics." Journal of Chemical Physics 143, no. 24 (2015): 244104. http://dx.doi.org/10.1063/1.4937393.

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Harini, Sri. "Pendeteksian Outlier dengan Metode Regresi Ridge." CAUCHY 1, no. 1 (2009): 7. http://dx.doi.org/10.18860/ca.v1i1.1699.

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Dalam analisis regresi linier berganda adanya satu atau lebih pengamatan pencilan (outlier) akan menimbulkan dilema bagi para peneliti. Keputusan untuk menghilangkan pencilan tersebut harus dilandasi alasan yang kuat, karena kadang-kadang pencilan dapat memberikan informasi penting yang diperlukan. Masalah outlier ini dapat diatasi dengan berbagai metode, diantaranya metode regresi ridge (ridge regression). Untuk mengetahui kekekaran regresi ridge perlu melihat nilai-nilai R2, PRESS, serta leverage (hii), untuk metode regresi ridge dengan berbagai nilai tetapan bias k yang dipilih.
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Yanagihara, Hirokazu, Isamu Nagai, and Kenichi Satoh. "A Bias-Corrected Cp Criterion for Optimizing Ridge Parameters in Multivariate Generalized Ridge Regression." Japanese Journal of Applied Statistics 38, no. 3 (2009): 151–72. http://dx.doi.org/10.5023/jappstat.38.151.

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Kelly, R. J. "GDOP, Ridge Regression and the Kalman Filter." Journal of Navigation 43, no. 03 (1990): 409–27. http://dx.doi.org/10.1017/s0373463300014041.

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Multicollinearity and its effect on parameter estimators such as the Kalman filter is analysed using the navigation application as a special example. All position-fix navigation systems suffer loss of accuracy when their navigation landmarks are nearly collinear. Nearly collinear measurement geometry is termed the geometric dilution of position (GDOP). Its presence causes the errors of the position estimates to be highly inflated. In 1970 Hoerl and Kennard developed ridge regression to combat near collinearity when it arises in the predictor matrix of a linear regression model. Since GDOP is m
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Tian, Wei, Gaoming Huang, Huafu Peng, Xuebao Wang, and Xiaohong Lin. "Sensor Bias Estimation Based on Ridge Least Trimmed Squares." IEEE Transactions on Aerospace and Electronic Systems 56, no. 2 (2020): 1645–51. http://dx.doi.org/10.1109/taes.2019.2929973.

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Friendly, Michael. "The Generalized Ridge Trace Plot: Visualizing Bias and Precision." Journal of Computational and Graphical Statistics 22, no. 1 (2012): 50–68. http://dx.doi.org/10.1080/10618600.2012.681237.

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Arashi, M., M. Roozbeh, N. A. Hamzah, and M. Gasparini. "Ridge regression and its applications in genetic studies." PLOS ONE 16, no. 4 (2021): e0245376. http://dx.doi.org/10.1371/journal.pone.0245376.

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With the advancement of technology, analysis of large-scale data of gene expression is feasible and has become very popular in the era of machine learning. This paper develops an improved ridge approach for the genome regression modeling. When multicollinearity exists in the data set with outliers, we consider a robust ridge estimator, namely the rank ridge regression estimator, for parameter estimation and prediction. On the other hand, the efficiency of the rank ridge regression estimator is highly dependent on the ridge parameter. In general, it is difficult to provide a satisfactory answer
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Xu, Jianwen, and Hu Yang. "Preliminary test almost unbiased ridge estimator in a linear regression model with multivariate Student-t errors." Acta et Commentationes Universitatis Tartuensis de Mathematica 15, no. 1 (2020): 27–43. http://dx.doi.org/10.12697/acutm.2011.15.03.

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In this paper, the preliminary test almost unbiased ridge estimators of the regression coefficients based on the conflicting Wald (W), Likelihood ratio (LR) and Lagrangian multiplier (LM) tests in a multiple regression model with multivariate Student-t errors are introduced when it is suspected that the regression coefficients may be restricted to a subspace. The bias and quadratic risks of the proposed estimators are derived and compared. Sufficient conditions on the departure parameter ∆ and the ridge parameter k are derived for the proposed estimators to be superior to the almost unbiased r
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Tesis sobre el tema "Ridge bias"

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Ayme, Alexis. "Supervised learning with missing data : a non-asymptotic point of view." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS252.

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Les valeurs manquantes sont courantes dans la plupart des ensembles de données du monde réel, en raison de la combinaison de sources multiples et d'informations intrinsèquement manquantes, telles que des défaillances de capteurs ou des questions d'enquête sans réponse. La présence de valeurs manquantes empêche souvent l'application d'algorithmes d'apprentissage standard. Cette thèse examinevaleurs manquantes dans un contexte de prédiction, visant à obtenir des prédictions précises malgré l'occurrence de données manquantes dans les données d'apprentissage et de test. L'objectif de cette thèse e
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Armbruster, Florian. "Darstellung bor- und phosphorhaltiger Ringe durch Reaktionen von Halogenboranen und -phosphanen mit Bis(tert.-butyl-methyl)ketazin." Doctoral thesis, [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=973984112.

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Riege, Iris [Verfasser]. "Ambulante Interventionen der DDR-Jugendhilfe in die Familien in den 1960er bis 1980er Jahren. : Rechtliche Normierung sowie tatsächliche Anlässe. / Iris Riege." Berlin : Duncker & Humblot, 2020. http://d-nb.info/123844377X/34.

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Ringe, Arne [Verfasser]. "Synthese und Charakterisierung asymmetrischer Bis(Thiophosphoryl)amine zur Darstellung von Münzmetallclustern / vorgelegt von Arne Ringe." 2008. http://d-nb.info/993186866/34.

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Armbruster, Florian [Verfasser]. "Darstellung bor- und phosphorhaltiger Ringe durch Reaktionen von Halogenboranen und -phosphanen mit Bis(tert.-butyl-methyl)ketazin / vorgelegt von Florian Armbruster." 2004. http://d-nb.info/973984112/34.

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Libros sobre el tema "Ridge bias"

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Patricia, Anderson. Mini bus ride: A journey through the informal sector of Kingston's mass transportation system. Institute of Social and Economic Research, University of the West Indies, Jamaica, 1987.

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Anderson. Mini Bus Ride. University of the West Indies Press, 1997.

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Capítulos de libros sobre el tema "Ridge bias"

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Pillonetto, Gianluigi, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, and Lennart Ljung. "Bias." In Regularized System Identification. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-95860-2_1.

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AbstractAdopting a quadratic loss, the performance of an estimator can be measured in terms of its mean squared error which decomposes into a variance and a bias component. This introductory chapter contains two linear regression examples which describe the importance of designing estimators able to well balance these two components. The first example will deal with estimation of the means of independent Gaussians. We will review the classical least squares approach which, at first sight, could appear the most appropriate solution to the problem. Remarkably, we will instead see that this unbia
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Wei, Xinyu, and Hui Wang. "A Project-Level Pavement Performance Prediction Framework Based on Machine Learning and Time Series Data." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6238-5_24.

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AbstractThe numerical deviations of the existing pavement performance prediction models for project-level forecasting make it not suitable for maintenance and repair (M&R) funding planning. Project-level forecasting lacks multi-feature parameters, and high-frequency maintenance makes it lack sufficient time series data. We have constructed a prediction framework to overcome the problem of insufficient data and large forecast bias. The performance of the time series status data-based prediction model is stable. Time series status data play important roles in improving the prediction accurac
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Loewenstein, George, Ted O’Donoghue,, and Matthew Rabin. "Projection Bias in Predicting Future Utility." In Exotic Preferences. Oxford University PressOxford, 2007. http://dx.doi.org/10.1093/oso/9780199257072.003.0013.

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Abstract On the second day of an overnight hike with my son Max on the Laurel Ridge trail in Pennsylvania, I asked him whether, when we got back to our bicycles (which were waiting at the end of the hike so we could bike back to the car), he wanted to take the route we had been planning to take or a longer, more scenic route. Max (who was 10 at the time) knew that I wanted to take the longer, scenic route and informed me that I had made a strategic error: “Daddy: you should have asked me when we were resting back on that rock, not while we are hiking. Of course I won’t want to take the long ro
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Craig, Paul. "Natural Justice." In English Administrative Law from 1550. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198908326.003.0009.

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Abstract This chapter deals with the historical development of natural justice from the early 17th century onwards. The story begins with the foundational case law concerning the right to a hearing, which is followed by discussion of its applicability and content. The focus then shifts to analysis of bias, with discussion of the doctrinal foundations, followed by consideration of the breadth of its application. The analysis thereafter is on the 20th century case law prior to the 1960s, which exhibited elements of continuity with the earlier case law, but also change, in the sense of limitation
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Seastedt, Timothy R. "Soils." In Structure and Function of an Alpine Ecosystem. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195117288.003.0014.

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This chapter examines alpine soils from a traditional soil science and ecological perspective, with a bias toward the latter. Soil physical and chemical properties are presented, but the soils as a resource for the biota as well as the feedbacks between abiotic and biotic processes are emphasized. Over half a century ago, Hans Jenny (1941) developed a conceptual model of the factors responsible for soil development. Jenny recognized that parent material, climate, topography, and geological and ecological disturbance factors could be viewed as independent phenomena that interact to produce soil
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Bukovsky, Ivo, Peter M. Benes, and Martin Vesely. "Introduction and Application Aspects of Machine Learning for Model Reference Adaptive Control With Polynomial Neurons." In Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0301-0.ch004.

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This chapter recalls the nonlinear polynomial neurons and their incremental and batch learning algorithms for both plant identification and neuro-controller adaptation. Authors explain and demonstrate the use of feed-forward as well as recurrent polynomial neurons for system approximation and control via fundamental, though for practice efficient machine learning algorithms such as Ridge Regression, Levenberg-Marquardt, and Conjugate Gradients, authors also discuss the use of novel optimizers such as ADAM and BFGS. Incremental gradient descent and RLS algorithms for plant identification and co
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Nagina, Razia. "Building Inclusive and Equitable Gig Economies for Sustainable Global Growth." In Sustainability and Adaptability of Gig Economies in Global Business. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9385-7.ch010.

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The gig economy has reshaped labor markets by offering flexible work but also presents challenges such as income instability, lack of social protections, digital access barriers, and sustainability concerns. This chapter examines these issues using secondary research and primary data from a survey of 250 gig workers across ride-hailing, food delivery, freelancing, and domestic services. Findings indicate that 70% face income volatility, 60% lack essential benefits, and 55% experience algorithmic bias in job allocation. Digital access limitations further hinder opportunities, especially in rura
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Lorbiecki, Marybeth. "A Cowboy in Love: 1909– 1912." In A Fierce Green Fire. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780199965038.003.0010.

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Twenty-two-year-old Aldo Leopold arrived in Albuquerque, New Mexico Territory, in July 1909, burning with the “fervor of a sawdust evangelist.” The Forest Service had sent him to his first choice—District 3, encompassing the twenty-one forests of the South and Southwest. His duties were outlined in his manual: preserve a perpetual supply of timber for home industries, prevent destruction of forest cover (which regulates the flow of streams), and protect local industries from unfair competition in the use of forest and range. The district chief was Arthur Ringland, a stocky, energetic Yale grad
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Actas de conferencias sobre el tema "Ridge bias"

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Solo, Victor. "Asymptotic Bias and Variance of Kernel Ridge Regression." In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023. http://dx.doi.org/10.1109/icassp49357.2023.10096774.

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Omer, Pareekhan. "Improving Prediction Accuracy of Lasso and Ridge Regression as an Alternative to LS Regression to Identify Variable Selection Problems." In 3rd International Conference of Mathematics and its Applications. Salahaddin University-Erbil, 2020. http://dx.doi.org/10.31972/ticma22.05.

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This paper introduces the Lasso and Ridge Regression methods, which are two popular regularization approaches. The method they give a penalty to the coefficients differs in both of them. L1 Regularization refers to Lasso linear regression, while L2 Regularization refers to Ridge regression. As we all know, regression models serve two main purposes: explanation and prediction of scientific phenomena. Where prediction accuracy will be optimized by balancing each of the bias and variance of predictions, while explanation will be gained by constructing interpretable regression models by variable s
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Sokolov, Mikhail A., and Randy K. Nanstad. "On Bias in To Values Derived With Compact and PCVN Specimens." In ASME/JSME 2004 Pressure Vessels and Piping Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/pvp2004-2306.

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The Heavy-Section Steel Irradiation (HSSI) Program at Oak Ridge National Laboratory (ORNL) includes a task to investigate the bias in the reference fracture toughness transition temperature values, To, derived with the pre-cracked Charpy (PCVN) and compact specimens. The PCVN specimen, as well as any other fracture toughness specimen that can be made out of the broken Charpy specimens, may have exceptional utility for the evaluation of RPV steels. The Charpy V-notch specimen is the most commonly used specimen geometry in surveillance programs. Precracking and testing of Charpy surveillance spe
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Vawter, G. A., V. M. Hietala, S. H. Kravitz, R. F. Carson, M. G. Armendariz, and G. R. Hadley. "A photonic integrated circuit technology for coherent optical processing." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thh4.

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A complete photonic integrated circuit (PIC) technology for coherent homodyne and heterodyne optical signal processing is presented. The GaAs/AlGaAs PIC is based exclusively on integration of waveguide phase modulators with interconnecting waveguides, directional couplers, turning mirrors, and gratings. Emphasis is on simplicity of fabrication and high yield of complex PIC designs achieved through the use of only one or two etch steps to define the PIC followed by conventional isolation and metalization steps. Current progress on critical device and fabrication technologies will be discussed.
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Lall, Pradeep, Dinesh Arunachalam, and Jeff Suhling. "Ridge Regression Based Development of Norris-Landzberg Acceleration Factors and Goldmann Constants for Leadfree Electronics." In ASME 2011 Pacific Rim Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Systems. ASMEDC, 2011. http://dx.doi.org/10.1115/ipack2011-52195.

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Goldmann Constants and Norris-Landzberg acceleration factors for lead-free solders have been developed based on ridge regression models (RR) for reliability prediction and part selection of area-array packaging architectures under thermo-mechanical loads. Ridge regression adds a small positive bias to the diagonal of the covariance matrix to prevent high sensitivity to variables that are correlated. The proposed procedure proves to be a better tool for prediction than multiple-linear regression models. Models have been developed in conjunction with Stepwise Regression Methods for identificatio
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Langlois, Patrick, and Michel Piché. "Self-mode-locked semiconductor laser in a ring cavity." In The European Conference on Lasers and Electro-Optics. Optica Publishing Group, 1998. http://dx.doi.org/10.1364/cleo_europe.1998.cpd1.3.

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We report on the generation of short (2 ps) pulses directly from a self-mode-locked semiconductor amplifier inserted in a ring cavity. The amplifier is in fact a superluminescent diode consisting of a 500 mm long double quantum-well InGaAlAs ridge waveguide with strained InGaAs active layers ; an angled stripe geometry provides a low coherence emission with a broad spectrum centered near 855 nm. The amplifier is placed in a ring cavity with three gold minors and a 83% transmission output coupler. Collimation of the laser output and careful alignment of the cavity mirrors allows laser emission
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Nanstad, Randy K., Donald E. McCabe, Mikhail A. Sokolov, and John G. Merkle. "Experimental Evaluation of Deformation and Constraint Characteristics in Precracked Charpy and Other Three-Point Bend Specimens." In ASME 2007 Pressure Vessels and Piping Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/pvp2007-26651.

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To enable determination of the fracture toughness reference temperature, T0, with reactor pressure vessel surveillance specimens, the precracked Charpy (PCVN) three-point bend, SE(B), specimen is of interest. Compared with the 25-mm (1 in.) thick compact, 1TC(T), specimen, tests with the PCVN specimen (10×10×55 mm) have resulted in T0 temperatures as much as 40°C lower (a so-called specimen bias effect). The Heavy-Section Steel Irradiation (HSSI) Program at Oak Ridge National Laboratory developed a two-part project to evaluate the C(T) versus PCVN differences, (1) calibration experiments conce
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Chen, Xiaoyuan, Xinlong Li, Wenhao He, et al. "Experimental Study on Rock-Breaking Characteristics of Conglomerate with Special-Shaped PDC Cutters Under High Confining Pressure." In 58th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2024. http://dx.doi.org/10.56952/arma-2024-0993.

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ABSTRACT: The characteristics of conglomerate non-uniformity and complex pore structure lead to severe wear and low rock-breaking efficiency of PDC bits when drilling into conglomerate formations. In this paper, the characteristics of breaking conglomerate of three kinds of PDC cutters such as planar cutter, triple-ridged cutter and axe-shaped cutter are studied under high confining pressure. By designing and carrying out experiments of breaking conglomerate with the planar cutter, axe-shaped cutter and triple-ridged cutter under high confining pressure, the characteristics of cutting force, r
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Khan, W. S., and F. A. Dar. "Ride Comfort Evaluation of Bias Ply and Radial Run - Flat Tire in High Mobility Vehicle." In Symposium on International Automotive Technology 2013. SAE International, 2013. http://dx.doi.org/10.4271/2013-26-0143.

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Yao, Jianlin, Bin Liu, and Haiyan Zhu. "Discrete Element Study on Rock Failure Mechanism by Shaped PDC Cutter Under Formation Conditions with In-Situ Stress and Temperature." In International Geomechanics Symposium. ARMA, 2022. http://dx.doi.org/10.56952/igs-2022-107.

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Abstract Polycrystalline diamond compact (PDC) bits have been widely used in drilling process due to their high efficiency and great reliability. To investigate rock failure mechanism and further improve the performance of PDC bits, a series of single cutter tests have been conducted in previous studies. However, most of them were performed under atmosphere conditions. That is, the effects of temperature and in-situ stress were ignored due to the limitation of experimental facility, which restricts the developing of novel bits. To solve the aforementioned problem and deeply study the rock fail
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Informes sobre el tema "Ridge bias"

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Dismantlement and removal of Old Hydrofracture Facility bulk storage bins and water tank, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/645461.

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