1 resultado para Non-Linear Analytical Systems
em Instituto de Engenharia Nuclear, Brazil - Carpe dIEN
Filtro por publicador
- JISC Information Environment Repository (1)
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Academic Research Repository at Institute of Developing Economies (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (5)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (43)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (7)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (10)
- Boston University Digital Common (8)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (8)
- CaltechTHESIS (9)
- Cambridge University Engineering Department Publications Database (109)
- CentAUR: Central Archive University of Reading - UK (44)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (26)
- Cochin University of Science & Technology (CUSAT), India (14)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Digital Commons at Florida International University (4)
- DigitalCommons - The University of Maine Research (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (2)
- eScholarship Repository - University of California (1)
- Greenwich Academic Literature Archive - UK (9)
- Helda - Digital Repository of University of Helsinki (5)
- Indian Institute of Science - Bangalore - Índia (158)
- Instituto de Engenharia Nuclear, Brazil - Carpe dIEN (1)
- Instituto Politécnico do Porto, Portugal (8)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Laboratório Nacional de Energia e Geologia - Portugal (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (4)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (70)
- Queensland University of Technology - ePrints Archive (134)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (2)
- Repositório Institucional da Universidade de Aveiro - Portugal (8)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (88)
- SAPIENTIA - Universidade do Algarve - Portugal (5)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (5)
- Universidad Politécnica de Madrid (29)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Pará (2)
- Universidade Federal do Rio Grande do Norte (UFRN) (2)
- Universitat de Girona, Spain (5)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (3)
- University of Connecticut - USA (1)
- University of Michigan (9)
- University of Queensland eSpace - Australia (13)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
This work presents a computational, called MOMENTS, code developed to be used in process control to determine a characteristic transfer function to industrial units when radiotracer techniques were been applied to study the unit´s performance. The methodology is based on the measuring the residence time distribution function (RTD) and calculate the first and second temporal moments of the tracer data obtained by two scintillators detectors NaI positioned to register a complete tracer movement inside the unit. Non linear regression technique has been used to fit various mathematical models and a statistical test was used to select the best result to the transfer function. Using the code MOMENTS, twelve different models can be used to fit a curve and calculate technical parameters to the unit.