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Relevant bibliographies by topics / Indirect input measurements

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Academic literature on the topic 'Indirect input measurements'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Indirect input measurements"

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Linder, Jonas, and Martin Enqvist. "On Indirect Input Measurements." IFAC-PapersOnLine 48, no. 28 (2015): 104–9. http://dx.doi.org/10.1016/j.ifacol.2015.12.108.

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Linder, Jonas, and Martin Enqvist. "Identification of systems with unknown inputs using indirect input measurements." International Journal of Control 90, no. 4 (2016): 729–45. http://dx.doi.org/10.1080/00207179.2016.1222557.

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Zhang, Rong, and Andrew G. Alleyne. "Dynamic Emulation Using an Indirect Control Input." Journal of Dynamic Systems, Measurement, and Control 127, no. 1 (2004): 114–24. http://dx.doi.org/10.1115/1.1876496.

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This paper presents a generalized framework to analyze and design controllers for a class of dynamic emulation systems. This class of systems features some structurally distinctive control frameworks which inherently limit the available bandwidth for dynamic emulation. The primary focus is on control structures that we define as indirect. This means the signal from the controller does not affect the physical plant directly; it interacts in combination with other exogenous signals to affect a behavior on the physical system interacting with the emulated load. It is shown that the achievable clo

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Sipos, Anca, Adrian Florea, Maria Arsin, and Ugo Fiore. "Using Neural Networks to Obtain Indirect Information about the State Variables in an Alcoholic Fermentation Process." Processes 9, no. 1 (2020): 74. http://dx.doi.org/10.3390/pr9010074.

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This work provides a manual design space exploration regarding the structure, type, and inputs of a multilayer neural network (NN) to obtain indirect information about the state variables in the alcoholic fermentation process. The main benefit of our application is to help experts reduce the time needed for making the relevant measurements and to increase the lifecycles of sensors in bioreactors. The novelty of this research is the flexibility of the developed application, the use of a great number of variables, and the comparative presentation of the results obtained with different NNs (feedb

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Ali, A., R. Darvishzadeh, A. K. Skidmore, I. V. Duren, U. Heiden, and M. Heurich. "Prospect inversion for indirect estimation of leaf dry matter content and specific leaf area." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 277–84. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-277-2015.

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Quantification of vegetation properties plays an indispensable role in assessments of ecosystem function with leaf dry mater content (LDMC) and specific leaf area (SLA) being two important vegetation properties. Methods for fast, reliable and accurate measurement of LDMC and SLA are still lacking. In this study, the inversion of the PROSPECT radiative transfer model was used to estimate these two leaf parameters. Inversion of PROSPECT traditionally aims at quantifying its direct input parameters rather than identifying the parameters which can be derived indirectly from the input parameters. T

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Waterhouse, Amy F., Jennifer A. MacKinnon, Jonathan D. Nash, et al. "Global Patterns of Diapycnal Mixing from Measurements of the Turbulent Dissipation Rate." Journal of Physical Oceanography 44, no. 7 (2014): 1854–72. http://dx.doi.org/10.1175/jpo-d-13-0104.1.

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Abstract The authors present inferences of diapycnal diffusivity from a compilation of over 5200 microstructure profiles. As microstructure observations are sparse, these are supplemented with indirect measurements of mixing obtained from (i) Thorpe-scale overturns from moored profilers, a finescale parameterization applied to (ii) shipboard observations of upper-ocean shear, (iii) strain as measured by profiling floats, and (iv) shear and strain from full-depth lowered acoustic Doppler current profilers (LADCP) and CTD profiles. Vertical profiles of the turbulent dissipation rate are bottom e

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Fernandes, Arthur Francisco Araujo, Erika R. de Alvarenga, Tiago L. Passafaro, et al. "PSII-6 Deep Learning image segmentation for extraction of body measurements and prediction of body weight in Nile tilapia." Journal of Animal Science 97, Supplement_3 (2019): 236–37. http://dx.doi.org/10.1093/jas/skz258.480.

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Abstract Individual measurement of traits of interest is of great importance for breeding and management decisions in animal production systems. However, measurements are often taken manually, which is laborious and also stressful for the animals. Therefore, the development of fast, precise and indirect measurement methods is paramount. An appealing way for such a task is through computer vision systems (CVS). Hence, the objectives of the current work were: 1) Devise a CVS for autonomous measurement of Nile tilapia body area, length, height, and eccentricity; and 2) Evaluation of linear models

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Burdon, R. D. "Early selection in tree breeding: principles for applying index selection and inferring input parameters." Canadian Journal of Forest Research 19, no. 4 (1989): 499–504. http://dx.doi.org/10.1139/x89-076.

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Early selection is essential after the first generation of a tree-breeding programme. Two main issues that it raises are (i) the optimal age for selection for the next generation and (ii) how best to use early assessment data for the selection. Attention is given mainly to the latter issue. Early selection is considered as a special type of indirect selection that can embrace multiple traits. Where a sequence of early measurements has been made for single traits it is possible to treat the expressions of a trait at different dates as separate traits in a selection index. Constructing a least-s

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Chandrakar, Kamal Kant, Will Cantrell, Kelken Chang, et al. "Aerosol indirect effect from turbulence-induced broadening of cloud-droplet size distributions." Proceedings of the National Academy of Sciences 113, no. 50 (2016): 14243–48. http://dx.doi.org/10.1073/pnas.1612686113.

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The influence of aerosol concentration on the cloud-droplet size distribution is investigated in a laboratory chamber that enables turbulent cloud formation through moist convection. The experiments allow steady-state microphysics to be achieved, with aerosol input balanced by cloud-droplet growth and fallout. As aerosol concentration is increased, the cloud-droplet mean diameter decreases, as expected, but the width of the size distribution also decreases sharply. The aerosol input allows for cloud generation in the limiting regimes of fast microphysics (τc<τt) for high aerosol concentrati

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Gasperini, Antonio, Angelo Malachias, Gilberto Fabbris, et al. "Investigation of indirect structural and chemical parameters of GeSi nanoparticles in a silica matrix by combined synchrotron radiation techniques." Journal of Applied Crystallography 45, no. 1 (2011): 71–84. http://dx.doi.org/10.1107/s0021889811049302.

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The formation of GeSi nanoparticles on an SiO2matrix is studied here by synchrotron-based techniques. The shape, average diameter and size dispersion were obtained from grazing-incidence small-angle X-ray scattering data. X-ray diffraction measurements were used to obtain crystallite sizes and compositionviaresonant (anomalous) measurements. By using these techniques as input for extended X-ray absorption fine structure analysis, the local composition surrounding the Ge atoms is investigated. Although the results for each of the methods above are commonly analyzed separately, the combination o

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Dissertations / Theses on the topic "Indirect input measurements"

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Linder, Jonas. "Graybox Modelling of Ships Using Indirect Input Measurements." Licentiate thesis, Linköpings universitet, Reglerteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-111095.

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A ship's roll dynamics is very sensitive to changes in the loading conditions and a worst-case scenario is that the ship will capsize. Actually, the mass and center of mass are two of the most influential parameters in most mechanical systems. However, it is difficult to uniquely estimate these parameters for a ship under normal operational conditions without special experiments or equipment. Instead of focusing on a sensor-rich environment where all possible signals on a ship can be measured and a complete model of the ship can be estimated, this thesis presents an approach where a model of a

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Linder, Jonas. "Indirect System Identification for Unknown Input Problems : With Applications to Ships." Doctoral thesis, Linköpings universitet, Reglerteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-134126.

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System identification is used in engineering sciences to build mathematical models from data. A common issue in system identification problems is that the true inputs to the system are not fully known. In this thesis, existing approaches to unknown input problems are classified and some of their properties are analyzed. A new indirect framework is proposed to treat system identification problems with unknown inputs. The effects of the unknown inputs are assumed to be measured through possibly unknown dynamics. Furthermore, the measurements may also be dependent on other known or measured inpu

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Filho, José Thomaz Mendes. "Utilização do modelo de insumo-produto de Leontief para determinação de alguns benefícios indiretos resultantes da construção e da manutenção de obras de infra-estrutura de transporte." Universidade de São Paulo, 1995. http://www.teses.usp.br/teses/disponiveis/18/18137/tde-09042018-104115/.

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Neste trabalho, utiliza-se o modelo de insumo-produto de Leontief, em sua variante nacional, estática e aberta, para quantificar alguns benefícios indiretos gerados por um investimento em construção e manutenção de obras de infra-estrutura de transporte. Estes benefícios são conseqüência do aumento da produção gerado pelo investimento, uma vez que há uma parcela de produção de qualquer bem ou serviço que corresponde a um aumento de riqueza para a região receptora do investimento. Procura-se mostrar que esse aumento de riqueza deve ser considerado como um beneficio indireto adicional, e que a b

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Book chapters on the topic "Indirect input measurements"

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"Indirect Input-Based Efficiency Measurement." In Production Frontiers. Cambridge University Press, 1993. http://dx.doi.org/10.1017/cbo9780511551710.006.

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Silva, Elvira, Spiro E. Stefanou, and Alfons Oude Lansink. "Dynamic Decision Making, Distance Functions, and Productive Efficiency." In Dynamic Efficiency and Productivity Measurement. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190919474.003.0005.

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This chapter discusses three concepts of the directional distance function in the presence of internal adjustment costs, designated as adjustment cost directional distance functions. These functions are the building blocks of technical inefficiency measures. Duality between an adjustment cost directional distance function and an indirect optimal value function allows the construction of economic measures of inefficiency. Duality is established between the adjustment cost directional input function and the optimal current value function of the intertemporal cost minimization problem. From this dual relation, a dynamic cost inefficiency measure is derived and decomposed into technical inefficiency and allocative inefficiency. Similarly, dynamic input-output measures of inefficiency are derived from the adjustment cost directional technology distance function and duality between this function and the current profit function.

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Conference papers on the topic "Indirect input measurements"

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Zanarini, Alessandro, Filip De Coninck, Krzysztof Mendrok, and Paul Sas. "Direct and Indirect Vibro-Acoustic Measurements for Road Noise NVH Predictions." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85633.

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This paper describes vibro-acoustic direct and indirect measurements for road noise NVH predictions from a complete car. Attention is devoted to the dynamic response of the structure and interior pressure field toward tire patch displacement inputs. The direct measurements exploited the Team Corporation CUBE™ high frequency 6 degree-of-freedom (DOF) shaker recently installed at the KULeuven Vehicle Technologies Laboratory; the input was provided directly at the tire contact patch, while the responses were measured as accelerations and pressures on the structure. In the indirect measurements a

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Chen, Wenjie, Kyoungchul Kong, and Masayoshi Tomizuka. "Hybrid Adaptive Friction Compensation of Indirect Drive Trains." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2736.

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This paper investigates the friction compensation topic for indirect drive trains in the absence of precise end-effector measurements. Friction, one of the main factors that diminish control performance, is investigated and compensated by manipulating the reference trajectory as well as the torque input. The motor side torque compensation utilizes the modified LuGre model to design an adaptive friction observer, while the motor side reference is modified by injecting the estimated load side friction. A hybrid controller structure is proposed to engage or disengage the load side compensator. Bo

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Lee, Chong-Won, and Young-Don Joh. "Complex Modal Testing Methods for Rotating Machinery." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0358.

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Abstract Various modal testing methods are proposed for the effective use of complex modal testing for rotating machinery, focusing on excitations and measurements. The proposed methods are developed, based on the input/output relationships for complex signals, for the direct or indirect assessment of frequency response and coherence functions between complex inputs and outputs. The proposed testing methods and the classical modal testing method are compared in consideration of required number of frequency response functions (FRFs) and testing efforts.

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Grytøyr, Guttorm, Torfinn Hørte, Max Russo, Kathrine Gregersen, and Kristoffer H. Aronsen. "Comparison of Global Riser Analysis to Full Scale Measurements on the NCS." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61638.

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Fatigue of subsea wellhead systems due to wave-induced loads from riser and rig motions has been subjected to increased attention in recent years. It is expected that calculated riser loads are conservative, as both input parameters and methodology are associated with some uncertainty. However, it is difficult to quantify the degree of conservatism in analytical results unless reference to measurements can be made. Statoil has conducted drilling riser load instrumentation campaigns in several locations around the world over the last few years in order to gather high quality data for accurate a

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Pepper, Nick, Francesco Montomoli, Francesco Giacomel, et al. "Uncertainty Quantification and Missing Data for Turbomachinery With Probabilistic Equivalence and Arbitrary Polynomial Chaos, Applied to Scroll Compressors." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16139.

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Abstract This work presents a framework for predicting unknown input distributions for turbomachinery applications starting from scarce experimental measurements. The problem is relevant to turbomachinery where important parameters are obtained using indirect measurements. In this paper a scroll compressor is used as example but the suggested framework is completely general and can be used to infer missing data on material composition (carbon fiber properties, laser melted specimens for additive manufacturing etc) or input data (such as the turbine inlet temperature). Scroll compressors are sm

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Mats, Leonid, J. T. Cain, and Marlin H. Mickle. "An indirect non-invasive method for measuring input impedance and connection effects of an RFID tag antenna." In 2006 68th ARFTG Conference: Microwave Measurement (ARFTG). IEEE, 2006. http://dx.doi.org/10.1109/arftg.2006.8361664.

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Skokandić, Dominik, Ana Mandić Ivanković, Aleš Žnidarič, and Sebastian Thöns. "Quantifying the Value of B-WIM: Assessing costs and benefits for Value of Information Analysis." In IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/guimaraes.2019.1314.

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<p>Implementation of Bridge weigh-in-motion (B-WIM) measurements and probabilistic approaches in bridge assessment may reveal hidden bridge reserves and changes in reliability levels over their projected service life, providing a key input for optimized bridge management. But, as scientists and engineers and at the same time vendors of our own ideas, we need to be in position to present the results of our sophisticated methods and algorithms, expressed mostly in terms of safety or reliability indexes, probabilities of failures and similar indicators, with expected monetary savings which

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Mahmoudi, Yasser, Andrea Giusti, Epaminondas Mastorakos, and Ann P. Dowling. "Low-Order Modelling of Combustion Noise in an Aero-Engine: The Effect of Entropy Dispersion." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63147.

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The present work studies the effect of entropy dispersion on the level of combustion noise at the turbine outlet of the Rolls-Royce ANTLE aero-engine. A new model for the decay of entropy waves, based on modelling dispersion effects, is developed and utilised in a low-order network model of the combustor (i.e. LOTAN code that solves the unsteady Euler equations). The proposed model for the dispersion of entropy waves only requires the mean velocity field as an input, obtained by RANS computations of the demonstrator combustor. LOTAN is then coupled with a low order model code (LINEARB) based o

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Meli, Enrico, Pierluca D’Adamio, Alice Innocenti, Lorenzo Marini, Luca Pugi, and Andrea Rindi. "An Innovative Procedure for High Speed Weighing in Motion of Railway Vehicles." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46315.

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In the present work the authors propose an innovative estimation algorithm for Weigh-in-motion (WIM) applications with the aim of estimating the axle or wheel loads of a generic train composition, starting from indirect track measurements. The WIM algorithm elaborates the set of experimental physical quantities chosen as track inputs, making use of estimation procedures based on least square minimization techniques. To perform an accurate estimation, the algorithm uses a flexible multibody model of the track and the vehicle. The novelty of the proposed solution is the general approach that all

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Hamade, Ramsey F., and Ali H. Ammouri. "Sensor Fusion for Real-Time Condition Monitoring of Tool Wear in Surfacing With Fly Cutters." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-38895.

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A coherent artificial neural network, ANN, software program capable of real time analysis and decision-making is utilized in this work for the automatic detection and diagnostics of tool wear during a surfacing milling operation using a fly cutter. Several sensors were utilized to collect data indirectly related to wear: current measurements from the spindle and two (x, y) drive motors, three (x, y, z) components of cutting force, and acoustic emission. Furthermore, direct wear measurements were collected using image capturing and dimensional measurements of the worn location (not performed in

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