1 resultado para the Fuzzy Colour Segmentation Algorithm
em DRUM (Digital Repository at the University of Maryland)
Filtro por publicador
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (9)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (1)
- Aston University Research Archive (40)
- Biblioteca de Teses e Dissertações da USP (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (20)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (32)
- Bioline International (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (36)
- Brock University, Canada (5)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (9)
- CentAUR: Central Archive University of Reading - UK (48)
- Central European University - Research Support Scheme (2)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (4)
- Cochin University of Science & Technology (CUSAT), India (23)
- Coffee Science - Universidade Federal de Lavras (1)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (34)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (9)
- Digital Commons - Michigan Tech (4)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (10)
- DigitalCommons@The Texas Medical Center (6)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (44)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (1)
- FUNDAJ - Fundação Joaquim Nabuco (3)
- Glasgow Theses Service (1)
- Instituto Politécnico de Bragança (2)
- Instituto Politécnico de Viseu (2)
- Instituto Politécnico do Porto, Portugal (42)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (9)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (1)
- Publishing Network for Geoscientific & Environmental Data (6)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (3)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (18)
- Repositório da Escola Nacional de Administração Pública (ENAP) (1)
- Repositório da Produção Científica e Intelectual da Unicamp (8)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (3)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório do Centro Hospitalar de Lisboa Central, EPE - Centro Hospitalar de Lisboa Central, EPE, Portugal (1)
- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (91)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (1)
- Research Open Access Repository of the University of East London. (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (19)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (30)
- Universidad de Alicante (9)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (63)
- Universidade Complutense de Madrid (2)
- Universidade do Minho (12)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (2)
- Universidade Federal do Pará (10)
- Universidade Federal do Rio Grande do Norte (UFRN) (32)
- Universidade Técnica de Lisboa (2)
- Universitat de Girona, Spain (10)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Lausanne, Switzerland (39)
- Université de Montréal, Canada (23)
- University of Michigan (3)
- University of Queensland eSpace - Australia (31)
- University of Washington (2)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Rainflow counting methods convert a complex load time history into a set of load reversals for use in fatigue damage modeling. Rainflow counting methods were originally developed to assess fatigue damage associated with mechanical cycling where creep of the material under load was not considered to be a significant contributor to failure. However, creep is a significant factor in some cyclic loading cases such as solder interconnects under temperature cycling. In this case, fatigue life models require the dwell time to account for stress relaxation and creep. This study develops a new version of the multi-parameter rainflow counting algorithm that provides a range-based dwell time estimation for use with time-dependent fatigue damage models. To show the applicability, the method is used to calculate the life of solder joints under a complex thermal cycling regime and is verified by experimental testing. An additional algorithm is developed in this study to provide data reduction in the results of the rainflow counting. This algorithm uses a damage model and a statistical test to determine which of the resultant cycles are statistically insignificant to a given confidence level. This makes the resulting data file to be smaller, and for a simplified load history to be reconstructed.