Relevant bibliographies by topics / Linear electric machines

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

Academic literature on the topic 'Linear electric machines'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Linear electric machines"

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Ivshin, Igor Vladimirovich, Andrey Michailovich Kopylov, and Alfred Robertovich Safin. "Numerical Modeling of Dynamic Processes of the Reciprocating Reversible Electrical Machine." Applied Mechanics and Materials 792 (September 2015): 134–42. http://dx.doi.org/10.4028/www.scientific.net/amm.792.134.

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Now rotational electrical machines are used mainly for the implementation a reciprocating motion of working mechanisms and also as the electric generators powered by internal combustion engines. It is achieved by means of the kinematic transfers complicating a design and reducing the drive efficiency. The use of linear reciprocating electric machines allows to eliminate these defects. It should be noted that the most effective ones are the cylindrical designs of reciprocating electric machines with permanent magnets, whose efficiency reaches 93 – 95%. However, the rarity and lack of a mass production of this machine type and special recommendations for their design causes the need of research, directed on search of optimum constructive decisions. The article describes the types of linear electrical machines and summarizes the results of numerical modeling of dynamic characteristics for the three versions of the reciprocating cylindrical machine with permanent magnets of 10 kW with the oscillation frequency of the translator 20 Hz and the length of operating cycle of 120 mm. The most effective design parameters of linear electric machine were determined on the basis of its specific characteristics and analysis of the EMF graphics shape, appearing on the stator windings in the generator mode.
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Boldea, Ion, Lucian Nicolae Tutelea, Wei Xu, and Marcello Pucci. "Linear Electric Machines, Drives, and MAGLEVs: An Overview." IEEE Transactions on Industrial Electronics 65, no. 9 (September 2018): 7504–15. http://dx.doi.org/10.1109/tie.2017.2733492.

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Bang, Y.-B., and S. Ito. "Linear motor drive ultrahigh-speed injection moulding machine." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 5 (May 1, 2002): 773–81. http://dx.doi.org/10.1243/0954405021520283.

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This paper presents a report on the development of a linear motor drive injection moulding machine for the attainment of ultrahigh-speed injection moulding. Until now it has been impossible to produce such a high speed with all-electric injection moulding machines, although the need for such ultrahigh-speed, electrically driven injection moulding machines has clearly existed. However, direct drive by linear motors may cause brief nozzle separation from the sprue bushing because of an inertia force as large as the total output thrust of the linear motors, and this momentary separation can cause molten plastic leakage. In this paper, two solutions are proposed for this inertia force problem. One is mechanical cancellation of the inertia force, the other is an increase in the nozzle contact force. Furthermore, a new nozzle contact mechanism is proposed that prevents the stationary platen bending caused by the nozzle contact force. Some experimental results on a manufactured all-electric, ultrahigh-speed injection moulding machine are presented.
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Pfingsten, Georg Von, Andreas Ruf, Simon Steentjes, Marco Hombitzer, David Franck, and Kay Hameyer Rwth. "Operating point resolved loss computation in electrical machines." Archives of Electrical Engineering 65, no. 1 (March 1, 2016): 73–86. http://dx.doi.org/10.1515/aee-2016-0006.

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AbstractMagnetic circuits of electromagnetic energy converters, such as electrical machines, are nowadays highly utilized. This proposition is intrinsic for the magnetic as well as the electric circuit and depicts that significant enhancements of electrical machines are difficult to achieve in the absence of a detailed understanding of underlying effects. In order to improve the properties of electrical machines the accurate determination of the locally distributed iron losses based on idealized model assumptions solely is not sufficient. Other loss generating effects have to be considered and the possibility being able to distinguish between the causes of particular loss components is indispensable. Parasitic loss mechanisms additionally contributing to the total losses originating from field harmonics, non-linear material behaviour, rotational magnetizations, and detrimental effects caused by the manufacturing process or temperature, are not explicitly considered in the common iron-loss models, probably even not specifically contained in commonly used calibration factors. This paper presents a methodology being able to distinguish between different loss mechanisms and enables to individually consider particular loss mechanisms in the model of the electric machine. A sensitivity analysis of the model parameters can be performed to obtain information about which decisive loss origin for which working point has to be manipulated by the electromagnetic design or the control of the machine.
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Hanene, Hleli, Flah Aymen, and Tounsi Souhir. "Variable reluctance synchronous machines in saturated mode." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 2 (June 1, 2021): 662. http://dx.doi.org/10.11591/ijpeds.v12.i2.pp662-673.

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Electric vehicle seems largely based on electrical machines. Finding the best motor type seems be important for having more performances and a transport system robustness. In this work, we present an analytical model of the synchronous machine with variable reluctances in linear and saturated modes. The angular position of the rotor (θ) and the phase current (i) will beused as parameters. The analytical model of this machine will allow us to determinate its magnetic characteristics such inductors, magnetic flux and electromagnetic torque. The results obtained by the analytical model are compared with those obtained by the finite element method. So, basing on Matlab/Simulink tool and by working with finite element method, these results are depicted and the paper objective is illustrated.
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Kim, Woo-Hyeon, Chang-Woo Kim, Hyo-Seob Shin, Kyung-Hun Shin, and Jang-Young Choi. "Operating Characteristic Analysis and Verification of Short-Stroke Linear Oscillating Actuators Considering Mechanical Load." Machines 10, no. 1 (January 9, 2022): 48. http://dx.doi.org/10.3390/machines10010048.

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Linear oscillating machines are electric devices that reciprocate at a specific frequency and at a specific stroke. Because of their linear motion, they are used in special applications, such as refrigerators for home appliances and medical devices. In this paper, the structure and electromagnetic characteristics of these linear oscillating machines are investigated, and the stroke is calculated according to voltage and motion equations. In addition, static and transient behavior analysis is performed, considering mechanical systems such as springs, damping systems, and mover mass. Furthermore, in this study, the magnetic force is analyzed, experiments are conducted according to the input power, and the current magnitude and stroke characteristics are analyzed according to the input frequency. Finally, the study confirmed that the most efficient operation is possible when the electrical resonance frequency matches the resonance frequency of the linear oscillating machines.
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Gorozhankin, A. N., and A. V. Korzhov. "FEATURES OF SYNTHESIS OF SYNCHRONOUS RELUCTANCE AND INDUCTOR ELECTRIC MACHINES." Bulletin of the South Ural State University series "Power Engineering" 22, no. 2 (June 2022): 81–91. http://dx.doi.org/10.14529/power220208.

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The problem of finding the best dimensions for the elements of magnetic systems of synchronous reluc-tance and inductor electric machines in an extended range of changes in load torque and power is considered. An algorithm for solving the problem is also proposed, involving the division of the elements of the magnetic system into two groups. The first group affects the magnitude of the torque pulsations, while the second does not affect this indicator. Such parti-tioning accelerates the process of convergence of the result. A method of sequential non-linear programming is proposed for resolving the problem. It has good convergence with minimal search time. Synthesis of finite element models of a syn-chronous reluctance machine with salient pole and anisotropic types of rotors, switched reluctance machine (SRD), ma-chine with field switching (FSDC), Vernier reluctance and double field Vernier reluctance machines was performed. It was shown that the proportion of winding copper relative to steel in the active part of the machines increases relative to conventional machines when operating in the nominal mode. On the contrary, this feature was manifested to a lesser extent when working in the zone of overloads in terms of torque. Electromagnetic loads increase with increasing power, equivalent to operating a machine of lower power in overload mode. It was shown that the sensi-tivity to the size of the air gap in Vernier reluctance machines is the highest in the class under study. Thus, with increasing power, the specific torque will increase significantly. On the contrary, the lowest sensitivity to the air gap value in ma-chines with one-sided gearing and distributed winding on the stator allows these machines to be made with a larger gap without compromising the specific torque.
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Makarov, L. N., V. N. Denisov, and S. P. Kurilin. "Designing and modeling a linear electric motor for vibration-technology machines." Russian Electrical Engineering 88, no. 3 (March 2017): 166–69. http://dx.doi.org/10.3103/s1068371217030129.

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Chelmiah, Eoghan T., Violeta I. McLoone, and Darren F. Kavanagh. "Remaining Useful Life Estimation of Rotating Machines through Supervised Learning with Non-Linear Approaches." Applied Sciences 12, no. 9 (April 20, 2022): 4136. http://dx.doi.org/10.3390/app12094136.

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Bearings are one of the most common causes of failure for rotating electric machines. Intelligent condition-based monitoring (CbM) can be used to predict rolling element bearing fault modes using non-invasive and inexpensive sensing. Strategically placed accelerometers can acquire bearing vibration signals, which contain salient prognostic information regarding the state of health. Machine learning (ML) algorithms are currently being investigated to accurately predict the health of machines and equipment in real time. This is highly advantageous towards reducing unscheduled maintenance, increasing the operational lifetime, as well as mitigation of the associated health risks caused by catastrophic machine failure. Motivated by this, a robust CbM system is presented for rotating machines that is suitable for various industrial applications. Novel non-linear methods for both feature engineering (one-third octave bands) and wear-state modelling (exponential) are investigated. The paper compares two main types of feature extraction, which are derived from Short-Time Fourier Transform (STFT) and Envelope Analysis (EA). In addition, two types of supervised learning, Support Vector Machines (SVM) and k-Nearest Neighbour (k-NN) are explored. The work is tested and validated on the PRONOSTIA platform dataset, with remaining useful life (RUL) classification results of up to 74.3% and a mean absolute error of 0.08 achieved.
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Ilhan, E., T. E. Motoasca, J. J. H. Paulides, and E. A. Lomonova. "Energy Conversion Loops for Flux-Switching PM Machine Analysis." Engineering, Technology & Applied Science Research 2, no. 5 (October 6, 2012): 285–90. http://dx.doi.org/10.48084/etasr.209.

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Induction and synchronous machines have traditionally been the first choice of automotive manufacturers for electric/hybrid vehicles. However, these conventional machines are not able anymore to meet the increasing demands for a higher energy density due to space limitation in cars. Flux-switching PM (FSPM) machines with their high energy density are very suitable to answer this demand. In this paper, the energy conversion loop technique is implemented on FSPM for the first time. The energy conversion technique is a powerful tool for the visualization of machine characteristics, both linear and nonlinear. Further, the technique provides insight into the torque production mechanism. A stepwise explanation is given on how to create these loops for FSPM along with the machine operation.
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Dissertations / Theses on the topic "Linear electric machines"

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Xie, Qiulin. "Modeling and control of linear motor feed drives for grinding machines." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22630.

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Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2008.
Committee Chair: Steven Y Liang; Committee Member: Chen Zhou; Committee Member: David G Taylor; Committee Member: Min Zhou; Committee Member: Shreyes N Melkote.
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Semidey, Stephen Andrew. "Thermal design and optimization of high torque density electric machines." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/48967.

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The overarching goal of this work is to address the design of next-generation, high torque density electrical machines through numerical optimization using an integrated thermal-electromagnetic design tool that accounts for advanced cooling technology. A parametric thermal model of electric machines was constructed and implemented using a finite difference approach incorporating an automated, self segmenting mesh generation. A novel advanced cooling technology is proposed to improve thermal transport in the machine by removing heat directly from the windings via heat exchangers located between the winding bundles. Direct winding heat exchange (DWHX) requires high convective transport and low pressure loss. The heat transfer to pressure drop tradeoff was addressed by developing empirically derived Nusselt number and friction factor correlations for micro-hydrofoil enhanced meso-channels. The parametric thermal model, advanced cooling technique, Nusselt number and friction factor correlations were combined with a parametric electromagnetic model for electric machines. The integrated thermal-electromagnetic model was then used in conjunction with particle swarm optimization to determine optimal conceptual designs. The Nusselt number correlation achieves an R² value of 0.99 with 95% of the data falling within ± 2.5% similarly the friction factor correlation achieves an R² value of 0.92 with 95% of the data falling within ± 10.2%. The integrated thermal-electromagnetic design tool, incorporating DWHX, generated an optimized 20 kW permanent magnet electric machine design achieving a torque density of 23.2 N-m/L based on total system volume.
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Mujtaba, Ahmed. "Control scheme for electric drives based on synchronous reluctance machines with a non-linear MTPA controller." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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This dissertation focus on a Maximum Torque per Ampere (MTPA) control scheme for a non-linear synchronous reluctance motor (Sync-Rel). Due to the absence of permanent magnets, Sync-Rel motors have poor torque production capability and relatively low power factor. Therefore, it is important to maximize the torque given the maximum current of the power inverter. In the classical solution to the MTPA control problem, the d-q current components are considered equal. This solution assumes a linear magnetic circuit for the Sync-Rel motor. In practical applications, the Sync-Rel motor has a non-linear magnetic core. As a consequence, the linear solution to the MTPA problem is not the best one anymore. In this dissertation, we model a non-linear Sync-Rel motor using a simplified magnetic model, taking into account the magnetic saturation. Then, we design a non-linear MTPA controller. The Sync-Rel motor drive is simulated, and the performance of both linear and non-linear controller are compared.
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Lönnroth, Viktor, and Tomas Arleklint. "Stator Core Design for a Linear Transversive Flux Machine." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214753.

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Wave power is not an energy source takenadvantage of partly due to the lack of effective generatorsfor slow speeds. There is an ongoing project at the RoyalInstitute of Technology in Sweden where a transversive fluxmachine specialised for slow speeds is being developed.This paper aims to design the core of this machine toachieve high efficiency and low cost. The basic design ispresented along with the approach to the different aspectsof the manufacturing. After examining possible losses thesehave been bypassed or minimised using various methods.If this is not done properly, the losses will be too severe forthe machine to prove useful. A study of the results showthat a very high efficiency will be achieved, way superiorto that of currently existing wave power generators.
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Manuk, A. K. "The half-speed linear machine : A new form of linear synchronous motor." Thesis, University of Bristol, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372018.

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Matt, Daniel. "Etude de deux structures originales de machine a reluctance variable polyentrefer : une machine tournante vernier, un actionneur lineaire a haute performance." Paris 6, 1987. http://www.theses.fr/1987PA066111.

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Musco, Christopher Paul. "Faster linear algebra for data analysis and machine learning." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/118093.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 189-208).
We study fast algorithms for linear algebraic problems that are ubiquitous in data analysis and machine learning. Examples include singular value decomposition and low-rank approximation, several varieties of linear regression, data clustering, and nonlinear kernel methods. To scale these problems to massive datasets, we design new algorithms based on random sampling and iterative refinement, tools that have become an essential part of modern computational linear algebra. We focus on methods that are provably accurate and efficient, while working well in practical applications. Open source code for many of the methods discussed in this thesis can be found at https://github.com/cpmusco.
by Christopher Paul Musco.
Ph. D.
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Dall'Ora, Luca. "Analysis and Design of a Linear Tubular Electric Machine for Free-piston Stirling Micro-cogeneration Systems." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3423541.

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The UE investments for the renewable source development, in order to achieve the set goals (Kyoto protocol and “20-20-20” targets), push to investigate in new technologies and to develop the existing. In this context, the cogeneration (CHP) plays a fundamental role, and in particular, the micro-CHP has wide development margins. Among the different cogeneration process, the systems driven by a free-piston Stirling engine are one of the most significant challenges in the research area. In such systems, the thermal energy, coming from primary energy source (for example renewable energy), is converted into mechanical energy through a Stirling engine, and then a linear generator converts the mechanical energy into electrical energy, finally, the generator is connected to the electric grid or to the load by means of an electric converter. The use of the linear generator, instead of the traditional systems of linear to alternating motion conversion (rod-crank system), allows achieving several advantages, including: improving the system reliability, noise and cost reduction. Finally, this kind of system, if well-designed, allows improving the system efficiency. In this thesis a linear generator, directly coupled to a free-piston Stirling engine in a CHP system, was developed and analysed. It was found, after a first phase of the study and literature review, that the most convenient choice, from the technical and economic point of view, is a single-phase tubular permanent magnet linear generator. In particular, the magnets are made of plasto-neodymium, while, for the realization of the stator magnetic circuit, due to the geometrical complexity, soft magnetic composites (SMC) materials have been considered. In order to determine the generator performance, an analysis method based on FEAs was developed. This simplified method (HFEA) allows the study and the comparison of different magnetization patterns and current supply strategies. The proposed methodology exploits the representation of the magnetization spatial harmonics through an analytical processing that allows taking into account different magnetization profile of the permanent magnets. Thus, it was possible to reconstruct the most important quantities, such as the flux density and the flux linkage, superposing the effect of each harmonic obtained through the Fourier analysis. Furthermore, a procedure, able to reproduce the effects of magnetic saturation of the mover, generally not negligible in such kind of machines, was developed. For this purpose, an appropriate surface current distribution on the yoke of the mover was introduced, in order to reproduce the demagnetizing effect due to the saturation. By means of the air gap flux density, the force provided by linear generator was calculated, while, by means of the flux density sampled on suitable points on the stator and mover yokes, the iron losses were estimated and then the machine efficiency. By means of the flux linkage the emf provided by linear generator was determined. The results show a very good agreement with corresponding FEAs. The proposed analysis method allows carrying out a parametric analysis with a lower computational effort. Thanks to this feature, different magnetization patterns, supply strategies and SMC materials can be compared in order to optimize the machine design. A prototype based on the design guidelines was built; then, a procedure based on experimental measurement was developed to characterize the electromagnetic parameters. To determine the magnetization profile of the magnets, the flux density on the mover surface was carried out by means of a Gaussmeter. As regards the SMC materials that compose the stator core, a calculation method was developed from suitable experimental elaborations, in order to determine the most important magnetic properties, such as the BH curve and core loss coefficients. From experimental results, it can be noted that the actual characteristics are poorer than those provided by the manufactured datasheets, likely due to the manufacturing processes and spurious air gaps between the SMC modules. The update electromagnetic parameters are used to determine the actual performance of the machine, particularly to estimate the efficiency, the emf and the force. Finally, a simplified model of the cogeneration system was developed in order to predict the dynamic behaviour and particularly, the actual values of the speed, output power and efficiency. This model allows developing the control strategy of the linear generator acting on the electric converter.
Gli investimenti da parte dei paesi della UE per lo sviluppo delle fonti rinnovabili, al fine di raggiungere gli obiettivi preposti (Protocollo di Kioto e Piano “20-20-20”), spingono a ricercare nuove tecnologie e a sviluppare quelle già esistenti. In questo ambito, la cogenerazione ricopre un ruolo fondamentale, ed in particolare, la micro-cogenerazione, anche in ambito domestico, presenta ancora ampi margini di sviluppo. Tra le diverse modalità di cogenerazione, i sistemi free-piston azionati da motori Stirling rappresentano una tra le sfide più importanti nell’ambito della ricerca. In tali sistemi l’energia termica, proveniente da una fonte di energia primaria (ad esempio di tipo rinnovabile), è convertita in energia meccanica attraverso un motore Stirling; successivamente un generatore lineare converte l’energia meccanica in elettrica; ed infine, un convertitore elettrico interfaccia il generatore con un carico o con la rete elettrica. L’utilizzo del generatore lineare, al posto dei tradizionali sistemi di conversione del moto da lineare ad alternato (sistema biella-manovella), consente di ottenere diversi benefici, tra cui: migliorare l’affidabilità del sistema, limitare il rumore e ridurre i costi. Infine, questo sistema, se ben progettato, permette di aumentare il rendimento dell’impianto di cogenerazione. In questo lavoro di tesi è stato progettato ed analizzato un generatore lineare da accoppiare direttamente ad un motore Stirling free-piston in un sistema di cogenerazione domestico. Dopo una prima fase di studio e ricerca bibliografica, è stato riscontrato che la scelta più conveniente dal punto di vista tecnico-economico, risulta essere quella di un generatore monofase tubolare a magneti permanenti. In particolare, i magneti sono a base di plasto-neodimio, mentre, per la realizzazione del circuito magnetico di statore, data la complessità geometrica, si sono considerati materiali magnetici compositi (SMC). Al fine di determinare le prestazioni del generatore, è stata sviluppata una metodologia di analisi, basata su analisi FEM, che permettesse lo studio ed il confronto di diverse tipologie di magnetizzazione, in particolare radiale e Halbach, e considerare diverse strategie di alimentazione. Tale metodologia (HFEA) sfrutta la rappresentazione delle armoniche spaziali di magnetizzazione attraverso un'elaborazione di tipo analitico che permette di riprodurre diverse funzioni di magnetizzazione dei magneti permanenti. In tal modo, è stato possibile ricostruire le principali grandezze di interesse (induzione e flusso concatenato) sovrapponendo l’effetto di ciascuna armonica ricavata attraverso l'analisi di Fourier. Inoltre, è stata sviluppata una procedura in grado di riprodurre gli effetti della saturazione magnetica del traslatore, generalmente non trascurabile in questo tipo di macchine. A questo proposito sono state introdotte opportune distribuzioni superficiali di corrente sul giogo del traslatore che riproducono l'effetto smagnetizzante dovuto alla saturazione. Dai valori dell’induzione al traferro, è possibile risalire al valore della forza esplicata dal generatore; mentre, dai valori dell’induzione, campionati in opportuni punti all’interno dei nuclei magnetici dello statore e del traslatore, è stato possibile stimare le perdite nel ferro e quindi il rendimento della macchina. Dal profilo del flusso concatenato è stato possibile stimare l’andamento della forza elettromotrice generata. I risultati hanno evidenziato un ottimo accordo con le corrispondenti analisi agli elementi finiti, con il vantaggio rispetto a queste di poter effettuare analisi parametriche che coinvolgono diverse grandezze progettuali con tempi di calcolo inferiori. Grazie a questa caratteristica, è stato possibile confrontare le prestazioni con varie tipologie di magnetizzazioni, strategie di alimentazione e caratteristiche di materiali SMC, effettuando una prima ottimizzazione del progetto della macchina. Dopo aver realizzato un prototipo sulla base delle indicazioni progettuali, è stata sviluppata una procedura sperimentale atta a determinare i parametri elettromagnetici del generatore, per verificarne la congruenza con le ipotesi progettuali e mettere a punto quindi i modelli per le analisi successive. Per determinare il profilo di magnetizzazione dei magneti sono state effettuate delle misure di induzione sulla superficie del materiale magnetico mediante l’uso di un Gaussmetro. Invece, per i materiali SCM che costituiscono lo statore della macchina, a partire da opportune elaborazioni sperimentali, è stato sviluppato un metodo di calcolo in grado di determinare le principali proprietà magnetiche (permeabilità, caratteristica BH e coefficienti delle perdite nel ferro per isteresi, correnti parassite ed eccesso). Dai risultati sperimentali si nota che le caratteristiche reali sono meno performanti rispetto a quelle fornite dai datasheet dei costruttori, molto probabilmente a causa dei processi di lavorazione e dei traferri spuri presenti tra i moduli di SMC. I valori delle grandezze magnetiche aggiornate sono stati utilizzati per stimare le reali condizioni di esercizio della macchina, in particolare per determinare il valore del rendimento, della tensione e della forza sviluppata dalla macchina. È poi stato sviluppato un modello semplificato che consente di riprodurre il comportamento dinamico del sistema di cogenerazione completo e di ricavare il profilo effettivo di velocità, la potenza erogata e il rendimento complessivo del sistema. Considerando l'interazione tra i singoli componenti, l'applicazione di questo modello risulta di estrema importanza per eseguire l’analisi e permette di mettere a punto la strategia di controllo del generatore agendo sul convertitore di interfacciamento con il carico.
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Ng, Choon Hoe. "Sensorless vector control of rotary and linear permanent magnet synchronous machines operating at extreme conditions." Thesis, University of Aberdeen, 2003. http://digitool.abdn.ac.uk/R?func=search-advanced-go&find_code1=WSN&request1=AAIU166980.

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Permanent magnet motors are known to provide higher torque and better efficiency than induction motors. They have found applications such as propulsion, motion control, traction, etc in industry. To reduce production costs by eliminating the use of position sensor, many sensorless drive schemes have emerged to fulfil this aim. Most of these sensorless algorithms utilise the back-EMF and magnetic saliency of PM motors to predict the rotor position, which is necessary for any closed loop vector controlled drive implementation. At zero or low speed operation, most sensorless schemes failed to perform well because of the inaccuracy in determining the small induced back-EMF. Contrary, at high-speed, the sampling rate of the rotor position must be sufficiently high. Moreover, the stator resistance varies after prolonged operation due to dissipated heat from the motor, which is significant when the motor is loaded and stalled. The author has proposed several sensorless algorithms to tackle these problems. Compensations are made to take account of the non-linearity of the switching devices in the inverter and the effect of dead time phenomenon. Small signal analyses of PM machine models and systems that include the speed and current regulators are carried out to ensure that they are stable for all operating conditions. Simulations and experimental results are presented to demonstrate that the sensorless drives work in practical implementations. Stability analyses are conducted to verify that the proposed sensorless algorithms are stable in both motoring and regenerating regions.
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Elschich, Ahmed. "Thermo-mechanical Fatigue of Electrical Insulation System in Electrical machine." Thesis, Karlstads universitet, Avdelningen för maskin- och materialteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-62579.

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Electrical machines in electrified heavy-duty vehicles are subjected to dynamic temperature loadings during normal operation due to the different driving conditions. The Electrical Insulation System (EIS) in a stator winding is aged as an effect of these dynamic thermal loads. The thermal loads are usually high constant temperatures and thermal cycling. The high average constant thermal load is well-known in the electrical machine industry but little is known about the effect of temperature cycling. In this project, the ageing of the EIS in stator windings due to temperature cycling is examined. In this project, computational simulations of different simplified models that represent the electrical insulation system are made to analyse the thermo-mechanical stresses that is induced due to thermal cycling. Furthermore, a test object was designed and simulated to replicate the stress levels obtained from the simulations. The test object is to ease the physical testing of electrical insulation system. Testing a complete stator takes time and has the disadvantage of having a high mass, therefore a test object is designed and a test method is provided. The results from the finite element analysis indicate that the mechanical stresses induced will affect the lifetime of the electrical insulation system. A sensitivity study of several thermal cycling parameters was performed, the stator core length, the cycle rate and the temperature cycle amplitude. The results obtained indicate that the stator core length is too short to have a significant effect on the thermo-mechanical stresses induced. The results of the sensitivity study of the temperature cycle rate and the temperature cycle amplitude showed that these parameters increase the thermo-mechanical stresses induced. The results from the simulations of the test object is similar to the results from the simulations of the stator windings, which means that the tests object is valid for testing. The test method that is most appropriate is the power cycling test method, because it replicates the actual application of stator windings. The thermally induced stresses exposing the slot insulation exceeds the yield strength of the material, therefore plastic deformation may occur only after one thermal cycle. The other components in the stator are exposed to stresses below the yield strength. The thermally induced stresses exposing the slot insulation are high enough to low cycle fatigue the electrical insulation system, thus thermo-mechanical fatigue is an ageing factor of the electrical insulation system.
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Books on the topic "Linear electric machines"

1

Tanzawa, Toru. On-chip High-Voltage Generator Design. New York, NY: Springer New York, 2013.

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Salo, Jussi. Design and analysis of a transversal-flux switched-reluctance-linear-machine pole-pair. Lappeenranta, Finland: Lappeenranta University of Technology, 1999.

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Polischuk, Vladimir. Operation, diagnosis and repair of electrical. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1039250.

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In the textbook fundamentals of the theory of diagnostics of electrical equipment, organization of technical maintenance, service and repair. The methods of organization of maintenance of electrical machines, transformers, transmission lines and cables. Designed for undergraduate students enrolled in the specialty "power and electrical engineering".
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Adoración, Rueda, and Huertas José L, eds. Low-voltage CMOS log companding analog design. Boston: Kluwer Academic Publishers, 2003.

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Bard, Gregory V. Sage for undergraduates. Providence, Rhode Island: American Mathematical Society, 2015.

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Boldea, Ion. Linear Electric Machines, Drives, and MAGLEVs Handbook. Taylor & Francis Group, 2017.

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Boldea, Ion. Linear Electric Machines, Drives, and MAGLEVs Handbook. Taylor & Francis Group, 2013.

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Linear Electric Machines, Drives, and Maglevs Handbook. Taylor & Francis Group, 2013.

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Boldea, Ion. Linear Electric Machines, Drives, and MAGLEVs Handbook. Taylor & Francis Group, 2017.

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Boldea, Ion. Linear Electric Machines, Drives, and MAGLEVs Handbook. Taylor & Francis Group, 2017.

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Book chapters on the topic "Linear electric machines"

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Fuchs, Ewald F., and Mohammad A. S. Masoum. "Rotating and Linear Motion Electric Machines." In Power Conversion of Renewable Energy Systems, 427–531. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-7979-7_10.

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Blanco, Marcos, Jorge Torres, Miguel Santos-Herrán, Luis García-Tabarés, Gustavo Navarro, Jorge Nájera, Dionisio Ramírez, and Marcos Lafoz. "Recent Advances in Direct-Drive Power Take-Off (DDPTO) Systems for Wave Energy Converters Based on Switched Reluctance Machines (SRM)." In Ocean Wave Energy Systems, 487–532. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78716-5_17.

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AbstractThis chapter is focused on Power Take-Off (PTO) systems for wave energy converters (WEC), being one of the most important elements since PTOs are responsible to transform the mechanical power captured from the waves into electricity. It presents Direct-Drive PTO (DDPTO) as one of the most reliable solutions to be adapted to some particular types of WEC, such as point absorbers. A discussion about modularity and adaptability, together with intrinsic characteristics of direct-drive PTOs, is also included. Among the different technologies of electric machines that can be used in direct-drive linear PTOs, switched reluctance machines (SRM) are described in further detail. In particular, the Azimuthal Multi-translator SRM is presented as a suitable solution in order to increase power density and reduce costs. Not only the electric machine, but also the associated power electronics are described in detail. The description includes the different configurations and topologies of power converters and the most appropriate control strategies. Finally, a superconducting linear generator solution is described, presenting it as a reliable alternative for the application of direct-drive PTOs. An example of concept and preliminary design is included in order to highlight the main challenges to be faced during this process.
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Kiran, Mahbubur Rahman, Omar Farrok, and Youguang Guo. "Superconducting Linear Machines for Electrical Power Generation from the Oceanic Wave." In Advanced Linear Machines and Drive Systems, 281–302. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9616-8_8.

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Pietrzak-David, Maria, Bernard de Fornel, and Alain Bouscayrol. "Linear Estimators and Observers for the Induction Machine (IM)." In Electrical Actuators, 175–250. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118558119.ch4.

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Wu, Yu, Delun Wang, Zhi Wang, Huimin Dong, and Shudong Yu. "The Kinematic Invariants in Testing Error Motion of Machine Tool Linear Axes." In Lecture Notes in Electrical Engineering, 1525–40. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2875-5_121.

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Bauer, Fabian, Jessica Hagner, Peter Bretschneider, and Stefan Klaiber. "Improvement of the prediction quality of electrical load profiles with artificial neural networks." In Machine Learning for Cyber Physical Systems, 13–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_2.

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AbstractAgainst the backdrop of the economically and ecologically optimal management of electrical energy systems, accurate predictions of consumption load profiles play an important role. On this basis, it is possible to plan and implement the use of controllable energy generation and storage systems as well as energy procurement with the required lead-time, taking into account the technical and contractual boundary conditions.The recorded electrical load profiles will increase considerably in the course of the digitization of the energy industry. In order to make the most accurate predictions possible, it is necessary to develop and investigate models that take account of the growing quantity structure and, due to the significantly higher number of observations, improve the forecasting quality as far as possible.Artificial neural networks (ANN) are increasingly being used to solve non-linear problems for a growing amount of data that is affected by human and other unpredictable influences. Consequently, the model approach of an ANN is chosen for predicting load profiles. Aim of the thesis is the simulative investigation and the evaluation of the quality and optimality of a prediction model based on an ANN for electrical load profiles.
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Xiang, Pengjie, Liang Yan, Tianyi Wang, Lijia Ge, Chris Gerada, and Ahmed Aboelhassan. "Performance Analysis and Design Optimization of Tubular Linear Oscillating Machine with Novel Compound Halbach Array." In Lecture Notes in Electrical Engineering, 5785–96. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_558.

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Wu, Jiansheng, Mingzhe Liu, and Long Jin. "Least Square Support Vector Machine Ensemble for Daily Rainfall Forecasting Based on Linear and Nonlinear Regression." In Lecture Notes in Electrical Engineering, 55–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12990-2_7.

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Wang, Yuchen, Kai Liu, Wei Hua, Xiaofeng Zhu, and Baoan Wang. "Concept and Implementation of a Rotor Position Detection Method for Permanent Magnet Synchronous Machines Based on Linear Halls." In Lecture Notes in Electrical Engineering, 31–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37161-6_3.

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Walrand, Jean. "Speech Recognition: B." In Probability in Electrical Engineering and Computer Science, 217–42. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_12.

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AbstractOnline learning algorithms update their estimates as additional observations are made. Section 12.1 explains a simple example: online linear regression. The stochastic gradient projection algorithm is a general technique to update estimates based on additional observations; it is widely used in machine learning. Section 12.2 presents the theory behind that algorithm. When analyzing large amounts of data, one faces the problems of identifying the most relevant data and of how to use efficiently the available data. Section 12.3 explains three examples of how these questions are addressed: the LASSO algorithm, compressed sensing, and the matrix completion problem. Section 12.4 discusses deep neural networks for which the stochastic gradient projection algorithm is easy to implement.
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Conference papers on the topic "Linear electric machines"

1

Bianchetti, M., B. J. H. de Bruyn, D. C. J. Krop, and E. A. Lomonova. "Trends in Superconducting Linear Electric Machines." In 2019 12th International Symposium on Linear Drives for Industry Applications (LDIA). IEEE, 2019. http://dx.doi.org/10.1109/ldia.2019.8771005.

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Thornton, R. D. "Linear Synchronous Motor Design." In International Electric Machines and Drives Conference. IEEE, 2005. http://dx.doi.org/10.1109/iemdc.2005.195927.

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Govindpure, Neeta, Ram Hipparagi, Arbind Kumar, D. B. Talange, and V. B. Bhole. "Basic Design equations of Linear Electric Machines." In 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES). IEEE, 2018. http://dx.doi.org/10.1109/pedes.2018.8707649.

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Lim, H. S., R. Krishnan, and N. S. Lobo. "Design and control of a linear propulsion system for an elevator using linear switched reluctance motor drives." In International Electric Machines and Drives Conference. IEEE, 2005. http://dx.doi.org/10.1109/iemdc.2005.195931.

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Meili, Zhou, Yang Zhongping, and You Xiaojie. "Pure electric brake of linear induction motor in the linear metro." In 2011 International Conference on Electrical Machines and Systems (ICEMS). IEEE, 2011. http://dx.doi.org/10.1109/icems.2011.6073872.

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Hruska, Karel, Jan Laksar, and Pavel Dvorak. "Electric Machines Inductances and their Non-Linear Behaviour." In 2022 20th International Conference on Mechatronics - Mechatronika (ME). IEEE, 2022. http://dx.doi.org/10.1109/me54704.2022.9982872.

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Perreault, Brian M. "Control Strategies for Linear Synchronous Motors." In 2007 IEEE International Electric Machines & Drives Conference. IEEE, 2007. http://dx.doi.org/10.1109/iemdc.2007.382806.

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Flores Filho, A. F., M. A. da Silveira, and R. P. Homrich. "An Analytical Solution for the Normal Force in Linear Actuators." In International Electric Machines and Drives Conference. IEEE, 2005. http://dx.doi.org/10.1109/iemdc.2005.195882.

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Lee, Ji-Young, In-Jae Lee, Ji-Won Kim, Jung-Hwan Chang, Do-Hyun Kang, Shi-Uk Chung, and Jung-Pyo Hong. "Contactless power transfer system combined with linear electric machine." In 2007 International Conference on Electrical Machines and Systems. IEEE, 2007. http://dx.doi.org/10.1109/icems12746.2007.4412286.

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Jayabalan, R., and B. Fahimi. "On electromagnetic response of the field oriented linear induction motor drives." In International Electric Machines and Drives Conference. IEEE, 2005. http://dx.doi.org/10.1109/iemdc.2005.195930.

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Reports on the topic "Linear electric machines"

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, July 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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