16 resultados para health state classification system
Filtro por publicador
- Academic Research Repository at Institute of Developing Economies (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 (5)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (1)
- Aquatic Commons (8)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (16)
- B-Digital - Universidade Fernando Pessoa - Portugal (2)
- Biblioteca de Teses e Dissertações da USP (5)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (18)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (11)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (59)
- Brock University, Canada (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (68)
- Cambridge University Engineering Department Publications Database (6)
- CentAUR: Central Archive University of Reading - UK (19)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (13)
- Cochin University of Science & Technology (CUSAT), India (1)
- Collection Of Biostatistics Research Archive (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (62)
- Digital Commons - Michigan Tech (1)
- Digital Commons - Montana Tech (2)
- Digital Commons at Florida International University (23)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (15)
- DigitalCommons@University of Nebraska - Lincoln (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (3)
- Ecology and Society (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (2)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Harvard University (1)
- Helda - Digital Repository of University of Helsinki (13)
- Hospitais da Universidade de Coimbra (1)
- Indian Institute of Science - Bangalore - Índia (10)
- Instituto Politécnico de Viseu (2)
- Instituto Politécnico do Porto, Portugal (8)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (4)
- Memoria Académica - FaHCE, UNLP - Argentina (6)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (4)
- Nottingham eTheses (2)
- Open University Netherlands (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (8)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (37)
- Queensland University of Technology - ePrints Archive (105)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (4)
- RDBU - Repositório Digital da Biblioteca da Unisinos (2)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (3)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (9)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositorio Institucional de la Universidad de Málaga (1)
- Repositorio Institucional de la Universidad Pública de Navarra - Espanha (1)
- Repositório Institucional dos Hospitais da Universidade Coimbra (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (88)
- Repositorio Institucional UNISALLE - Colombia (1)
- RIBERDIS - Repositorio IBERoamericano sobre DIScapacidad - Centro Español de Documentación sobre Discapacidad (CEDD) (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- SAPIENTIA - Universidade do Algarve - Portugal (5)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- School of Medicine, Washington University, United States (1)
- Universidad de Alicante (7)
- Universidad del Rosario, Colombia (19)
- Universidad Politécnica de Madrid (11)
- Universidade de Lisboa - Repositório Aberto (3)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal de Uberlândia (2)
- Universidade Federal do Pará (6)
- Universidade Federal do Rio Grande do Norte (UFRN) (19)
- Universidade Metodista de São Paulo (8)
- Universitat de Girona, Spain (3)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (10)
- University of Michigan (22)
- University of Queensland eSpace - Australia (28)
- University of Washington (1)
- WestminsterResearch - UK (1)
Resumo:
Non-intrusive monitoring of health state of induction machines within industrial process and harsh environments poses a technical challenge. In the field, winding failures are a major fault accounting for over 45% of total machine failures. In the literature, many condition monitoring techniques based on different failure mechanisms and fault indicators have been developed where the machine current signature analysis (MCSA) is a very popular and effective method at this stage. However, it is extremely difficult to distinguish different types of failures and hard to obtain local information if a non-intrusive method is adopted. Typically, some sensors need to be installed inside the machines for collecting key information, which leads to disruption to the machine operation and additional costs. This paper presents a new non-invasive monitoring method based on GMRs to measure stray flux leaked from the machines. It is focused on the influence of potential winding failures on the stray magnetic flux in induction machines. Finite element analysis and experimental tests on a 1.5-kW machine are presented to validate the proposed method. With time-frequency spectrogram analysis, it is proven to be effective to detect several winding faults by referencing stray flux information. The novelty lies in the implement of GMR sensing and analysis of machine faults.