scholarly journals Variographic Assessment of Total Process Measurement System Performance for a Complete Ore-to-Shipping Value Chain

Minerals ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 310
Author(s):  
Karin Engström ◽  
Kim Esbensen

Variographic characterisation has been shown to be a powerful tool to assess the performance of process measurement systems, using existing process data. Variogram interpretation enables decomposition of variabilities stemming from the process and measurement system, respectively, allowing to determine if measurements are able to describe the true process variability with sufficient resolution. This study evaluated 14 critical sampling locations, covering a total of 34 separate measurement systems, along the full processing value chain at Luossavaara Kiirunavaara limited company (LKAB), Sweden. A majority of the variograms show low sill levels, indicating that many sub-processes are well controlled. Many also show low nugget effect, indicating satisfactory measurement systems. However, some notable exceptions were observed, pointing to systems in the need of improvement. Even if some of these were previously recognized internally at LKAB, the use of variographic characterisation provide objective and numerical evidence of measurement system performance. The study also showed some unexpected results, for example that slurry shark-fin and spear sampling show acceptable variogram characteristics for the present materials, despite the associated incorrect sampling errors. On the other hand, the results support previous conclusions indicating that manual sampling and cross belt hammer samplers are leading to unacceptably large sampling errors and should be abandoned. Such specific findings underline the strength of comprehensive empirical studies. Based on the present compilation of results, it is possible to conduct rational enquiry of all evaluated measurement systems, enabling objective prioritization of where improvement efforts will have the largest cost–benefit effect.

2012 ◽  
Vol 19 (2) ◽  
pp. 381-394
Author(s):  
José Pereira ◽  
Octavian Postolache ◽  
Pedro Girão

Using A Segmented Voltage Sweep Mode and A Gaussian Curve Fitting Method to Improve Heavy Metal Measurement System PerformanceThis paper presents a voltammetric segmented voltage sweep mode that can be used to identify and measure heavy metals' concentrations. The proposed sweep mode covers a set of voltage ranges that are centered around the redox potentials of the metals that are under analysis. The heavy metal measurement system can take advantage of the historical database of measurements to identify the metals with higher concentrations in a given geographical area, and perform a segmented sweep around predefined voltage ranges or, alternatively, the system can perform a fast linear voltage sweep to identify the voltammetric current peaks and then perform a segmented voltage sweep around the set of voltages that are associated with the voltammetric current peaks. The paper also includes the presentation of two auto-calibration modes that can be used to improve system's reliability and proposes the usage of a Gaussian curve fitting of voltammetric data to identify heavy metals and to evaluate their concentrations. Several simulation and experimental results, that validate the theoretical expectations, are also presented in the paper.


Agriculture ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 588
Author(s):  
Benjamin C. Smith ◽  
Brett C. Ramirez ◽  
Steven J. Hoff

Many climate-controlled agricultural buildings use direct gas-fired circulating heaters (DGFCH) for supplement heat. There is no standardized test to calculate thermal efficiency for these heaters. This study aimed to develop a measurement system and analytical analysis for thermal efficiency, quantify the measurement uncertainty, and assess economics of DGFCH efficiency. The measurement system developed was similar to the ASHRAE 103 standard test stand with adaptations to connect the apparatus to the DGFCH. Two different propane measurement systems were used: input ratings < 30 kW used a mass flow system and input ratings > 30 kW used a volumetric gas meter. Three DGFCHs (21.9, 29.3, 73.3 kW) were tested to evaluate the system. Thermal efficiencies ranged from 92.4% to 100.9%. The resulting uncertainty (coverage factor of 2; ~95% Confidence Interval) ranged from 13.1% to 30.7% for input ratings of 56.3 to 11.4 kW. Key sources of uncertainty were propane and mass flow of air measurement. The economic impact of 1% difference in thermal efficiency ranged from USD $61.3 to $72.0 per heating season. Refinement of the testing system and procedures are needed to reduce the uncertainty. The application of this system will aid building designers in selection of DGFCHs for various applications.


2015 ◽  
Vol 53 (4) ◽  
pp. 1033-1036

Matthew D. Adler of Duke University reviews “Happiness and the Law”, by John Bronsteen, Christopher Buccafusco, and Jonathan S. Masur. The Econlit abstract of this book begins: “Assesses how the law affects people's quality of life with a particular focus on criminal punishment and civil lawsuits. Discusses measuring happiness; well-being analysis; well-being analysis versus cost–benefit analysis; happiness and punishment; adaptation, affective forecasting, and civil litigation; some problems with preference theories and objective theories; a hedonic theory of well-being; addressing objections to the hedonic theory; and the future of happiness and the law. Bronsteen is a professor in the Loyola University Chicago School of Law. Buccafusco is an associate professor in the Chicago-Kent School of Law and Codirector of the Center for Empirical Studies of Intellectual Property at the Illinois Institute of Technology. Masur is John P. Wilson Professor of Law in the University of Chicago Law School.”


2015 ◽  
Vol 752-753 ◽  
pp. 1349-1355 ◽  
Author(s):  
Günther Schuh ◽  
Stefan Rudolf ◽  
Martin Pitsch ◽  
Martin Sommer ◽  
Wilhelm Karmann

Manufacturing companies in high-wage countries are facing rising challenges in a global market. Increasing customer demands for a higher degree of individualization result in smaller lot sizes and higher variety of products. In addition, competitors from low-wage countries in Asia and Eastern Europe have significantly improved their technical capabilities, resulting in a more competitive environment. The tool making industry provides its customers with the means to achieve excellence in production due to its unique position in the value chain between product development and the serial production of parts. A tool making company’s ability to improve the efficiency of serial production and develop innovative product design is strongly dependent on its capability of integrating itself into the preceding and following customer processes. Over the last years, customer demands for global sourcing of tools have changed from low prices to the demands of extended tool operating life and high operational availability. European tool making companies have learned to take this development as a chance to differentiate themselves from global competitors and subsequently increase their range of services up- and downstream the value chain. As a result, new industrial product-service-systems (IPS²) for the European tool making industry need to be developed that address the demand of a higher degree of integration into the preceding and following customer processes. Within the German Government founded research project “Smart Tools”, an industrial product-service-system (IPS²) for the tool making industry has been developed based on a modular service-oriented cyber-physical system. Core element of the cyber-physical system is the smart tool – an injection molding tool equipped with state-of-the-art sensor technology to capture data on the condition of the tool during its operational use. Its intelligence derives from the condition based interpretation and data management of the collected process data which is also the basis for the design of customer specific services. Besides the successful integration of force and position sensors into the tool, experimental research has delivered important results on the application of solid borne sound sensors for online early detection of tool wear. An innovative concept for the distribution and interpretation of the process data incorporates the specific requirements of the customers. To cope with the demands of individual and small series production in the tool making industry, a modular sensor kit has been developed together with a diagnostic unit for data interpretation and storage of data in an electronic tool book. The developed modular service-oriented cyber-physical system delivers the means to extended tool operating life and improves the overall efficiency of serial production. Based on the results new business models can be developed for tool making companies to differentiate themselves from global competitors and overcome the challenges of production in high-wage countries.


2015 ◽  
Vol 105 (10) ◽  
pp. 674-679
Author(s):  
P. Groche ◽  
J. Schreiner ◽  
J. Hohmann ◽  
S. Höhr ◽  
A. Lechler

Industrie 4.0 gestattet transparente sowie sachgerecht angepasste Wertschöpfungsketten. Dazu ist es nötig, ein tiefgreifendes Prozessverständnis zu besitzen sowie die Aufnahme, Auswertung und Speicherung der relevanten Daten zu bewerkstelligen. Der Beitrag gibt einen Einblick in Industrie 4.0-Ansätze in der Umformtechnik und zeigt ausgewählte Ergebnisse aus dem Verbundprojekt „RobIN 4.0“. &nbsp; Industrie 4.0 opens the possibility to realize a monitoring and qualified adaption along the entire value chain. Prerequisites for this include a deep understanding of the process as well as achieving the recording, analysis and storage of relevant process data. This paper gives an insight into Industrie 4.0 approaches for the forming industry and presents selected results of the RobIN 4.0-project.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lei Xu ◽  
Ning Zhang ◽  
Liqing Fang ◽  
Huadong Chen ◽  
Pengfei Lin ◽  
...  

The magnetic gradient full-tensor measurement system is diverse, and the magnetometer array structure is complex. Aimed at the problem, seven magnetic gradient full-tensor measurement system models are studied in detail. The full-tensor measurement theories of the tensor measurement arrays are analyzed. Under the same baseline distance, the magnetic dipole model is used to simulate the measurement system. Based on different measurement systems, the paper quantitatively compares and analyzes the error of the structure. A more optimized magnetic gradient full-tensor measurement system is suggested. The simulation results show that the measurement accuracy of the planar measurement system is slightly higher than that of the stereo measurement system. Among them, the cross-shaped and square measurement systems have relatively smaller structural errors and higher measurement accuracy.


Author(s):  
Алексей Николаевич Самойлов ◽  
Юрий Михайлович Бородянский ◽  
Александр Валерьевич Волошин

В процессе автоматизации решения прикладных измерительных задач, в том числе на базе фотограмметрических методов, возникает проблема соответствия измерительной системы объекту и условиям измерения. Для того чтобы измерительная система позволяла заранее оценить возможность получения достоверных результатов, а также наилучшим образом подстраивалась под условия измерения, необходимо наличие специализированных алгоритмов и моделей. В общем случае такие модели ориентированы на квалифицированных технических специалистов, обладающих необходимыми знаниями в области информационных технологий. Особенностью применения фотограмметрических измерительных систем в лесной и металлургической промышленности является низкая квалификация пользователей в сфере информационных технологий, что обуславливается характером выполняемых работ и условиями привлечения. Данный фактор не позволяет решить задачу подстройки системы традиционными методами, в которых процессом настройки управляет пользователь. В этой связи в статье предлагается модель и алгоритм формирования измерительной системы по первичным входным данным, в котором процессом настройки управляет сама система. In the process of automating the solution of applied measurement tasks, including on the basis of photogrammetric methods, there is a problem of compliance of the measurement system with the object and measurement conditions. In order for the measuring system to assess in advance the possibility of obtaining reliable results, as well as to best adapt to the conditions of measurement, it is necessary to have specialized algorithms and models. In general, such models are aimed at qualified technicians with the necessary knowledge in the field of information technology. A feature of the application of photogrammetric measurement systems in the forestry and metallurgical industry is the low qualification of users in the field of information technology, which is determined by the nature of the work performed and the conditions of attraction. This factor does not solve the problem of adjusting the system by traditional methods in which the user controls the configuration process. In this regard, the article proposes a model and algorithm for forming a measuring system from primary input data, in which the system itself controls the adjustment process.


2002 ◽  
Vol 2 (4) ◽  
pp. 181-187
Author(s):  
K. Johnson

Performance measurement can be an effective tool in driving organization improvement to enable your utility to become more competitive, or improve customer satisfaction. WERF Project #99-WWF-7, Developing and Implementing a Performance Measurement System, is developing performance measurement systems by investigating a number of “best practices” in other industries and implementing selected practices at various water/wastewater utilities nationwide to determine how these practices can be adapted and applied. This joint WERF/AWWARF research project has been underway since mid-1999 to provide methods and tools that enable the utility to develop and implement a performance measurement system based on a demonstrated, proven approach. The Volume I Report summarizes the secondary research and project approach. Well designed, properly implemented performance measurement systems can enable utilities to achieve new levels of performance in terms of efficiency, quality, and effectiveness. Interest in performance measurement is increasing in all competitive businesses and industries today, and has been advanced through concepts such as the Balanced Scorecard. Utilities can employ these same concepts and learn “best practices” from other industries' experiences. While a performance measurement system alone does not improve performance or make a utility competitive, when combined with an appropriate business strategy and performance improvement initiatives, it can drive a cycle of change. A successful performance measurement system combines a holistic approach around improved business practices and effective human/organizational strategies in addition to actual performance information for operational decision-making.


1988 ◽  
Vol 32 (18) ◽  
pp. 1222-1226
Author(s):  
J. I. Martin ◽  
S. T. Breidenbach ◽  
A. P. Ciavarelli

This paper describes methods for developing automated performance measurement systems used with training ranges and simulators. A prototype automated measurement system designed to assess aircrew performance during strike warfare training is presented as an application of this methodology. Methods are also presented for displaying information which is useful in assessing student progress and for diagnosing training results.


2009 ◽  
Vol 70 (6) ◽  
pp. 568-577 ◽  
Author(s):  
Sarah Anne Murphy ◽  
Sherry Engle Moeller ◽  
Jessica R. Page ◽  
Judith Cerqua ◽  
Mark Boarman

Measurement System Analysis (MSA) provides decision makers with a useful suite of tools for understanding whether variation should be attributed to an assessment system itself or the actual item or program being assessed. This paper introduces the Attribute Gage R&R, using a study of The Ohio State University Libraries’ mechanism for measuring quality in e-mail reference transactions as an example. An ideal tool for examining assessment programs that require subjective interpretation, the Attribute Gage R&R can assist library organizations in understanding their processes and validating the utility of data collected through their measurement systems.


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