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Articles 50671 - 50700 of 197010
Full-Text Articles in Engineering
Evaluation Of Time-Dependent Camber And Deflections In Bridge Girders, Furkan Cakmak
Evaluation Of Time-Dependent Camber And Deflections In Bridge Girders, Furkan Cakmak
Wayne State University Theses
A methodology to predict each stage of camber and displacements in composite prestressed concrete and steel bridge superstructures from inception to end of service life including a prediction of rebound in deck replacement projects is presented. The methodology invokes the use of multiple creep curves and allows the proper simulation of various construction activities each of which feature unique loading events. The proposed method captures the influence of several factors, such as creep and shrinkage of beam and deck concrete as well as prestresses losses induced because of these phenomena. Additionally, the prediction methodology offers the capability to quantify the …
Intercomparisons Of Three Global Bottom-Up Anthropogenic Emission Inventories: Implications For Air Quality, Halima Salah
Intercomparisons Of Three Global Bottom-Up Anthropogenic Emission Inventories: Implications For Air Quality, Halima Salah
Wayne State University Theses
Air pollution from human activities plays an important role in affecting ambient air quality, climate change and human health. To provide changes in global environmental policies to reduce air pollution, emission inventories are critical as they aide in the understanding of air quality impacts across multiple scales. The state-of-the-science global bottom-up anthropogenic emission inventories are the Evaluating the Climate and Air Quality Impacts of Short-Lived Pollutants version 6b (ECLIPSEv6b) for emissions from 1990-2050, Emission Database for Global Atmospheric Research version 5.0 (EDGARv5) for emissions from 1970-2015, and the Community Emissions Data System that was released in April 2021 (CEDS) for …
Framework For Effective Resilience Managmenet Of Complex Supply Networks, Elham Taghizadeh
Framework For Effective Resilience Managmenet Of Complex Supply Networks, Elham Taghizadeh
Wayne State University Dissertations
In today's environment with high global and complex supply chains for engineered products, the ability to assess and manage the resilience of supply chains is not a luxury but a fundamental prerequisite for business continuity and success. This is particularly true for firms with deep-tier supply chains, such as the automotive original equipment manufacturers (OEMs) and their suppliers. Automotive supply networks are particularly facing growing challenges due to their complexity, globalization, economic volatility, rapidly changing technologies, regulations, and environmental/political shocks. These risks and challenges can disrupt and halt operations in any section of the supply network. Given that supply chains …
Research Framework Of Human Factors Interactions With Technical And Security Factors In Cloud Computing, Hongjiang Xu, Sakthi Mahenthiran
Research Framework Of Human Factors Interactions With Technical And Security Factors In Cloud Computing, Hongjiang Xu, Sakthi Mahenthiran
Scholarship and Professional Work - Business
There are many advantages to adopt cloud computing, however, some important issues need to be addressed, such as cybersecurity, cost-saving, trust, implementation complexity, and cloud provider’s reliability. This study developed a research framework to study the human factors that interact with technical and cybersecurity factors to affect the cloud-computing provider’s performance from the user’s perspective. Research hypotheses were developed and a survey was conducted to test the hypotheses and validate the research framework.
A Step Closer To Elastogenesis On Demand; Inducing Mature Elastic Fibre Deposition In A Natural Biomaterial Scaffold, Francisco R. Almeida-González, Arlyng González-Vázquez, Suzanne M. Mithieux, Fergal J. O'Brien, Anthony S. Weiss, Claire Brougham
A Step Closer To Elastogenesis On Demand; Inducing Mature Elastic Fibre Deposition In A Natural Biomaterial Scaffold, Francisco R. Almeida-González, Arlyng González-Vázquez, Suzanne M. Mithieux, Fergal J. O'Brien, Anthony S. Weiss, Claire Brougham
Articles
Elastic fibres play a key role in bodily functions where fatigue resistance and elastic recovery are necessary while regulating phenotype, proliferation and migration in cells. While in vivo elastic fibres are created at a late foetal stage, a major obstacle in the development of engineered tissue is that human vascular smooth muscle cells (hVSMCs), one of the principal elastogenic cells, are unable to spontaneously promote elastogenesis in vitro. Therefore, the overall aim of this study was to activate elastogenesis in vitro by hVSMCs seeded in fibrin, collagen, glycosaminoglycan (FCG) scaffolds, following the addition of recombinant human tropoelastin. This combination …
Variation And Phenomenography: Recognising And Understanding Qualitatively Different Experiences Of Engineering Learning, Mike Mimirinis, Shannon Chance, Inês Direito
Variation And Phenomenography: Recognising And Understanding Qualitatively Different Experiences Of Engineering Learning, Mike Mimirinis, Shannon Chance, Inês Direito
Other
No abstract provided.
Speed-Sensorless Predictive Torque Controlled Induction Motor Drive Withfeed-Forward Control Of Load Torque For Electric Vehicle Applications, Emrah Zerdali̇, Ridvan Demi̇r
Speed-Sensorless Predictive Torque Controlled Induction Motor Drive Withfeed-Forward Control Of Load Torque For Electric Vehicle Applications, Emrah Zerdali̇, Ridvan Demi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Nowadays, the global trend is towards reducing CO2 emissions and one solution is to replace internal combustion vehicles with electric vehicles. To this end, electric drive system, the most crucial part of an electric vehicle, has gained importance and has become a major research field. The induction motor (IM) is one of the best candidates for electric vehicle applications due to its advantages such as having simple and robust design, its low cost maintenance requirements and the ability to operate in harsh environments. However, it has a highly nonlinear model with timevarying electrical and mechanical parameters making them difficult to …
Effect Of Ultra-High Pulse Frequency On The Resolution In The Electrochemical Deposition Of Nickel, Abishek Balsamy Kamaraj, Natalie Reed, Murali Sundaram
Effect Of Ultra-High Pulse Frequency On The Resolution In The Electrochemical Deposition Of Nickel, Abishek Balsamy Kamaraj, Natalie Reed, Murali Sundaram
Industrial & Manufacturing Engineering Presentations And Conference Materials
Using localized electrochemical deposition (LECD) as a mask-less direct writing methodology, metal shapes are printed. The electrochemical double-layer capacitance at ultra-high frequencies is hypothesized to cause a localized deposition and the effect of pulse frequency on the current density is modeled to predict the deposition resolution and rate of deposition. Experimental results confirm that the deposition resolution and efficiency of the LECD process increase with the increase of pulse frequency. Deposition resolution 80% smaller than the tool diameter is feasible in the LECD of nickel used with a ø 250 μm tool at 1 MHz pulsed power.
Mind The Gap: Exploring The Challenges And Opportunities For Social Enterprise In Vietnam, Paul Umfreville, Christine Bonnin
Mind The Gap: Exploring The Challenges And Opportunities For Social Enterprise In Vietnam, Paul Umfreville, Christine Bonnin
Articles
Social enterprise is a maturing area of activity within the development sector, and in Vietnam the sector has expanded significantly over the last thirty years, providing social services to communities and individuals experiencing socio-economic exclusion. Initially growing in a legislative vacuum, social enterprise currently appears to be flourishing following recognition by the state. However, the sector now faces new challenges as it matures. With Vietnam’s attainment of middle-income status, the international development funding previously available is now limited and the focus is on capacity and viability. Based on findings from interviews with representatives from a wide range of social enterprises …
Mapping The Light Fantastic At Newgrange, Frank Prendergast, Clare Tuffy, John Lalor, Claire Breen, Sinéad Gargan
Mapping The Light Fantastic At Newgrange, Frank Prendergast, Clare Tuffy, John Lalor, Claire Breen, Sinéad Gargan
Articles
THE WORLD HERITAGE PROPERTY of Brú na Bóinne attracts thousands of visitors from Ireland and around the globe, many drawn by the remarkable winter solstice phenomenon, when the rising sun’s rays illuminate the burial chamber. During 2020 it became clear that public health measures to combat the global pandemic were going to preclude visitor access to the chamber of the Great Mound of Newgrange, including during the annual winter solstice celebrations. When the government agencies OPW and NMS discussed how to manage Newgrange and the solstice during the restrictions, Clare Tuffy, Manager of Visitor Services at Brú na Bóinne, suggested …
Improving Visual Inspection Reliability In Aircraft Maintenance, Victor Hrymak, Patrick Codd
Improving Visual Inspection Reliability In Aircraft Maintenance, Victor Hrymak, Patrick Codd
Conference papers
Visual inspection is a fundamental safety critical task in the air transport industry. This study investigates how a visual search strategy with a specific eye scanning pattern can be used to improve the observation of aircraft defects during visual inspection tasks. N=100 aircraft maintenance technicians were recruited and N=48 were allocated to a control condition. This group conducted pre-flight visual inspections on aircraft, using their normal custom and practice. The remaining N=52 experimental group participants were trained to use a specific eye scanning pattern during their pre-flight inspection called systematic visual search. Prior to inspections, the number of observable defects …
Optimal Coordination Of Directional Overcurrent Relay Based On Combination Ofimproved Particle Swarm Optimization And Linear Programming Consideringmultiple Characteristics Curve, Suzana Pil Ramli, Hazlie Mokhlis, Wei Ru Wong, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor, Muhamad Hatta Hussain
Optimal Coordination Of Directional Overcurrent Relay Based On Combination Ofimproved Particle Swarm Optimization And Linear Programming Consideringmultiple Characteristics Curve, Suzana Pil Ramli, Hazlie Mokhlis, Wei Ru Wong, Munir Azam Muhammad, Nurulafiqah Nadzirah Mansor, Muhamad Hatta Hussain
Turkish Journal of Electrical Engineering and Computer Sciences
Optimal coordination of directional over-current relays (DOCRs) is a crucial task in ensuring the security and reliability of power system network. In this paper, a hybridization of an improved particle swarm optimization and linear programming (IPSO-LP) is proposed to solve DOCRs coordination problem. The considered decision variables in the optimization are plug setting current, time multiplier setting, type of relay, and type of curve. By considering these parameters in the optimization, the best relay operating time can be determined. Furthermore, the proposed technique also considered the continuous values of pick-up current setting (PSC) and time setting multiplier (TMS). Test on …
Fpga Implementation Of Lsd-Omp For Real-Time Ecg Signal Reconstruction, Önder Polat, Sema Kayhan
Fpga Implementation Of Lsd-Omp For Real-Time Ecg Signal Reconstruction, Önder Polat, Sema Kayhan
Turkish Journal of Electrical Engineering and Computer Sciences
Compressed sensing is widely used to compress electrocardiogram (ECG) signals, but the major challenges of the compressed sensing algorithms are their highly complex signal reconstruction processes. In this paper, a reconfigurable high-speed and low-power field-programmable gate array (FPGA) implementation of the least support denoising-orthogonal matching pursuit (LSD-OMP) algorithm for the real-time reconstruction of the ECG signals is presented. The contribution of this study is two-fold: Firstly, LSD-OMP can pick more than one element at each iteration and reconstruct the sparse signal using less number of iterations as compared to the standard OMP algorithms. Latency of the proposed design is therefore …
A Novel Hybrid Decision-Based Filter And Universal Edge-Based Logical Smoothingadd-On To Remove Impulsive Noise, Rajanbir Singh Ghumaan, Prateek Jeet Singh Sohi, Nikhil Sharma, Bharat Garg
A Novel Hybrid Decision-Based Filter And Universal Edge-Based Logical Smoothingadd-On To Remove Impulsive Noise, Rajanbir Singh Ghumaan, Prateek Jeet Singh Sohi, Nikhil Sharma, Bharat Garg
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a novel hybrid filter along with a universal extension to remove salt and pepper noise even at a very high noise density. The proposed filter initially specifies a threshold and then denoises the image using a combination of linear, nonlinear, and probabilistic techniques. Furthermore, to improve the quality, a universal add-on is presented which uses edge detection and smoothening techniques to brush out fine details from the restored image. To evaluate the efficacy, the proposed and existing filtering techniques are implemented in MATLAB and simulated with benchmark images. The simulation results show that the proposed filter is …
An Enhanced Bandwidth Disturbance Observer Based Control- S-Filter Approach, Mehmet Önder Efe, Coşku Kasnakoğlu
An Enhanced Bandwidth Disturbance Observer Based Control- S-Filter Approach, Mehmet Önder Efe, Coşku Kasnakoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
A continuous time enhanced bandwidth disturbance observer based control (DOBC) scheme is proposed in this paper. The classical Q -filter is implemented in feedback form and a signum function is inserted into the loop. The loop with this modification becomes capable of detecting small magnitude matched disturbances and we present an in depth discussion of the stability and performance issues comparatively. The proposed approach is called S-filter approach and the results outperform the classical approach under certain conditions. The contribution of the current paper is to advance the subject area to nonlinear filters for DOBC loops with guaranteed stability and …
A Linear Programming Approach To Multiple Instance Learning, Emel Şeyma Küçükaşci, Mustafa Gökçe Baydoğan, Zeki̇ Caner Taşkin
A Linear Programming Approach To Multiple Instance Learning, Emel Şeyma Küçükaşci, Mustafa Gökçe Baydoğan, Zeki̇ Caner Taşkin
Turkish Journal of Electrical Engineering and Computer Sciences
Multiple instance learning (MIL) aims to classify objects with complex structures and covers a wide range of real-world data mining applications. In MIL, objects are represented by a bag of instances instead of a single instance, and class labels are provided only for the bags. Some of the earlier MIL methods focus on solving MIL problem under the standard MIL assumption, which requires at least one positive instance in positive bags and all remaining instances are negative. This study proposes a linear programming framework to learn instance level contributions to bag label without emposing the standart assumption. Each instance of …
Towards An Ontology-Based Approach To The "New Normality" After Covid-19:The Spanish Case During Pandemic First Wave, Evelio Gonzalez
Towards An Ontology-Based Approach To The "New Normality" After Covid-19:The Spanish Case During Pandemic First Wave, Evelio Gonzalez
Turkish Journal of Electrical Engineering and Computer Sciences
The impact of the pandemic caused by COVID-19 has been immense in all fields of human activity. In most of the affected countries, the authorities have decreed a series of legal measures to try to stop the growth of the disease and the number of people affected by it. These legal measures involved, in most cases, restrictions on the free movement of people and on work and trade activities, new hygiene procedures, and social distancing. In the particular case of Spain, the rapid evolution of the pandemic led to the declaration of a so-called state of alarm and a period …
A 1-Kw Wireless Power Transfer System For Electric Vehicle Charging Withhexagonal Flat Spiral Coil, Emrullah Aydin, Mehmet Ti̇mur Aydemi̇r
A 1-Kw Wireless Power Transfer System For Electric Vehicle Charging Withhexagonal Flat Spiral Coil, Emrullah Aydin, Mehmet Ti̇mur Aydemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Wireless power transfer (WPT) technology is getting more attention in these days as a clean, safe, and easy alternative to charging batteries in several power levels. Different coil types and system structures have been proposed in the literature. Hexagonal coils, which have a common usage for low power applications, have not been well studied for high and mid power applications such as in electric vehicle (EV) battery charging. In order to fill this knowledge gap, the self and mutual inductance equations of a hexagonal coil are obtained, and these equations have been used to design a 1 kW WPT system …
A New Classification Method For Encrypted Internet Traffic Using Machine Learning, Mesut Uğurlu, İbrahi̇m Alper Doğru, Recep Si̇nan Arslan
A New Classification Method For Encrypted Internet Traffic Using Machine Learning, Mesut Uğurlu, İbrahi̇m Alper Doğru, Recep Si̇nan Arslan
Turkish Journal of Electrical Engineering and Computer Sciences
The rate of internet usage in the world is over 62% and this rate is increasing day by day. With this increase, it becomes important to ensure the confidentiality of the information in the traffic flowing over the internet. Encryption algorithms and protocols are used for this purpose. This situation, which is beneficial for normal users, is also used by attackers to hide. Cyber attackers or hackers gain the ability to bypass security precautions such as IDS/IPS and antivirus systems with using encrypted traffic. Since payload analysis cannot be performed without deciphering the encrypted traffic, existing commercial security solutions fall …
Design Development And Performance Analysis Of Distributed Least Square Twinsupport Vector Machine For Binary Classification, Bakshi Rohit Prasad, Sonali Agarwal
Design Development And Performance Analysis Of Distributed Least Square Twinsupport Vector Machine For Binary Classification, Bakshi Rohit Prasad, Sonali Agarwal
Turkish Journal of Electrical Engineering and Computer Sciences
Machine learning (ML) on Big Data has gone beyond the capacity of traditional machines and technologies. ML for large scale datasets is the current focus of researchers. Most of the ML algorithms primarily suffer from memory constraints, complex computation, and scalability issues.The least square twin support vector machine (LSTSVM) technique is an extended version of support vector machine (SVM). It is much faster as compared to SVM and is widely used for classification tasks. However, when applied to large scale datasets having millions or billions of samples and/or large number of classes, it causes computational and storage bottlenecks. This paper …
Robust And Efficient Ebg-Backed Wearable Antenna For Ism Applications, Ayesha Saeed, Asma Ejaz, Humayun Shahid, Yasar Amin, Hannu Tenhunen
Robust And Efficient Ebg-Backed Wearable Antenna For Ism Applications, Ayesha Saeed, Asma Ejaz, Humayun Shahid, Yasar Amin, Hannu Tenhunen
Turkish Journal of Electrical Engineering and Computer Sciences
A structurally compact, semiflexible wearable antenna composed of a distinctively miniaturized electromagnetic band gap (EBG) structure is presented in this work. Designed for body-centric applications in the 5.8 GHz band, the design draws heavily from a novel planar geometry realized on Rogers RT/duroid 5880 laminate with a compact physical footprint spanning lateral dimensions of $0.6$$\lambda$$_0$$\times$$0.06$$\lambda$$_0$. Incorporating a 2$\times$2 EBG structure at the rear of the proposed design ensures sufficient isolation between the body and the antenna, doing away with the performance degradation associated with high permittivity of the tissue layer. The peculiar antenna geometry allows for reduced backward radiation and …
Attention Augmented Residual Network For Tomato Disease Detection Andclassification, Getinet Yilma Abawatew, Seid Belay, Kumie Gedamu, Maregu Assefa, Melese Ayalew, Ariyo Oluwasanmi, Zhiguang Qin
Attention Augmented Residual Network For Tomato Disease Detection Andclassification, Getinet Yilma Abawatew, Seid Belay, Kumie Gedamu, Maregu Assefa, Melese Ayalew, Ariyo Oluwasanmi, Zhiguang Qin
Turkish Journal of Electrical Engineering and Computer Sciences
Deep learning techniques help agronomists efficiently identify, analyze, and monitor tomato health. CNN (convolutional neural network) locality constraint and existing small train sample adversely influenced disease recognition performance. To alleviate these challenges, we proposed a discriminative feature learning attention augmented residual (AAR) network. The AAR network contains a stacked pre-activated residual block that learns deep coarse level features with locality context, whereas the attention block captures salient feature sets while maintaining the global relationship in data points, attention features augment the learning of the residual block. We used conditional variational generative adversarial network (CVGAN) image reconstruction network and augmentation techniques …
2020 Kentucky Transportation Cabinet Maintenance Customer Survey, Bryan Gibson, Katherine Connair, Chris Van Dyke, Clark Graves, Doug Kreis
2020 Kentucky Transportation Cabinet Maintenance Customer Survey, Bryan Gibson, Katherine Connair, Chris Van Dyke, Clark Graves, Doug Kreis
Kentucky Transportation Center Research Report
The Kentucky Transportation Cabinet (KYTC) periodically surveys drivers to understand their perceptions of the agency’s maintenance activities. In 2020, Quadratics in conjunction with the Kentucky Transportation Center surveyed 2,400 licensed drivers throughout the state to gauge their perceptions of highway maintenance, identify areas of strength and weakness, and discern how drivers obtain information on traffic and weather conditions. Survey participants answered questions about five areas of highway maintenance — roadside features, pavement surfaces, shoulders, drainage, and signs/markings. Drivers reported being most satisfied with the maintenance of signs, guardrail, and striping. Pavement surfaces, potholes, and overall appearance garnered the lowest ratings. …
Modeling Of Rare Earth Solvent Extraction Process For Flowsheet Design And Optimization, Vaibhav Kumar Srivastava
Modeling Of Rare Earth Solvent Extraction Process For Flowsheet Design And Optimization, Vaibhav Kumar Srivastava
Theses and Dissertations--Mining Engineering
The separation and purification of rare earth elements (REEs) into individual products has been a topic of significant interest for researchers and engineers for many decades. The prime reason for such sustained interest is due to REEs’ demand and application in modern technology, as well as the challenges associated with their separation and purification. The chemical similarity of rare earth group elements is responsible for difficult separability which makes purification of individual elements challenging. Despite associated complications, processes such as solvent extraction (SX) and ion-exchange have been successfully utilized in the separation and production of REEs on pilot and commercial …
Understanding The Behavior Of Ionic Liquids In Poly (Methyl Methacrylate) Through Molecular Dynamics, Alejandro Gallegos Tovar
Understanding The Behavior Of Ionic Liquids In Poly (Methyl Methacrylate) Through Molecular Dynamics, Alejandro Gallegos Tovar
Honors Theses
Ionogels are polymer networks swollen by ionic liquids (ILs). They are used for electrochemical devices (lithium-ion batteries, thin-film transistors, and fuel cells) and as permeation membranes for gas separation. The interactions and phase behaviors of an ionic liquid (IL) in a polymer are the most important factor when building ionogels. The molecular behavior between poly(methyl methacrylate) (PMMA) and 1-butyl-3- methylimidazolium with four different anionic structures has been studied. The behavior between ILs and polymers is governed by a complex mix of factors such as polymer concentration, polymer and IL hydrophobicity, inter and intramolecular forces, and temperature. Molecular simulations of different …
Thermal And Thermophysical Properties Of Anionic Amines And Their Aqueous Solutions For Co2 Capture In Confined Environments, Randi Swanson
Thermal And Thermophysical Properties Of Anionic Amines And Their Aqueous Solutions For Co2 Capture In Confined Environments, Randi Swanson
Honors Theses
Air revitalization for the International Space Station (ISS) has been identified by NASA as a mission critical need which requires improvement. The current method uses13X zeolite, a solid adsorbent, to adsorb carbon dioxide. While this is effective, the zeolite adsorbent produces dust that is unwelcome on the space station. Furthermore, the adsorbentis too sensitive to humidity in moderate temperature gas streams [1]. Aqueous solutions of ionic amines show promise as a safe and efficient solution, as they do not volatilize and are not water sensitive [2]. Specifically, anionic amines have the most potential because of the amine functional group’s ability …
Nebraska Summary: S1149a Fendt 1046, Nebraska Tractor Test Lab
Nebraska Summary: S1149a Fendt 1046, Nebraska Tractor Test Lab
Nebraska Tractor Tests
ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …
Test 2234: John Deere 8rt 310, Nebraska Tractor Test Lab
Test 2234: John Deere 8rt 310, Nebraska Tractor Test Lab
Nebraska Tractor Tests
ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …
Test 2238: John Deere 7r 350 Ivt, Nebraska Tractor Test Lab
Test 2238: John Deere 7r 350 Ivt, Nebraska Tractor Test Lab
Nebraska Tractor Tests
ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …
Test 2229: Claas Xerion 5000 T5, Nebraska Tractor Test Lab
Test 2229: Claas Xerion 5000 T5, Nebraska Tractor Test Lab
Nebraska Tractor Tests
ABOUT THE TEST REPORT AND USE OF THE DATA The test data contained in this report are a tabulation of the results of a series of tests. Due to the restricted format of these pages, only a limited amount of data and not all of the tractor specifications are included. The full OECD report contains usually about 30 pages of data and specifications. The test data were obtained for each tractor under similar conditions and therefore, provide a means of comparison of performance based on a limited set of reported data. EXPLANATION OF THE TEST PROCEDURES Purpose The purpose of …