scholarly journals Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

2018 ◽  
Vol 14 (2) ◽  
pp. 108-116 ◽  
Author(s):  
Bilal Asad ◽  
Toomas Vaimann ◽  
Anton Rassõlkin ◽  
Ants Kallaste ◽  
Anouar Belahcen
Keyword(s):  
Industry 4.0 ◽  
Industrial Sector ◽  
Diagnostic Methods ◽  
Electrical Machine ◽  
Machine Condition ◽  
New Horizons ◽  
Machine Condition Monitoring ◽  
Cloud Environments ◽  
The Internet Of Things ◽  
Selection Of

AbstractDigitalization of the industrial sector and Industry 4.0 have opened new horizons in many technical fields, including electrical machine diagnostics and operation, as well as machine condition monitoring. This paper addresses a selection of electrical machine diagnostics methods that are applicable for the use in the perspective of Industry 4.0, to be used in hand with cloud environments and the possibilities granted by the Internet of Things. The need for further research and development in the field is pointed out. Some potentially applicable future approaches are presented.

scholarly journals UM ESTUDO QUANTITATIVO SOBRE OS RISCOS DA INDÚSTRIA 4.0 NO CONTEXTO INDUSTRIAL: UMA REVISÃO SISTEMÁTICA DA LITERATURA

2020 ◽  
Vol 17 (3) ◽  
pp. 165
Author(s):  
Ramon Soltovski ◽  
Luis Mauricio Martins de Resende ◽  
Joseane Pontes ◽  
Rui Tadashi Yoshino ◽  
Leonardo Breno Pessoa da Silva
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
Web Of Science ◽  
Industrial Sector ◽  
Cyber Attacks ◽  
The Internet ◽  
Economic Perspective ◽  
Fourth Industrial Revolution ◽  
The Internet Of Things ◽  
Technological Perspective

RESUMOA Indústria 4.0 é um tema em ascensão tanto no meio acadêmico como no contexto prático de empresas. As pesquisas atuais focam seus esforços nos estudos dos benefícios dos conceitos e tecnologias envolvidos no conceito da Quarta Revolução Industrial, no entanto, poucas procuram entender quais os pontos negativos. Dessa forma, através de uma revisão bibliográfica sistematizada realizada em janeiro de 2019, esse estudo procura entender quais são riscos em evidência na literatura que empresas do setor industrial podem enfrentar no contexto da Indústria 4.0. Foram selecionados 66 artigos através das bases de dados Scopus e Web of Science, os quais foram bibliometricamente estudados em relação aos autores e periódicos mais relevantes. Em seguida, estudando os 28 riscos mapeados na literatura por Soltovski et al. (2019), foi possível entender quais são mais representativos na literatura na perspectiva da sustentabilidade (ambiental, econômico e social) e na perspectiva tecnológica. De forma geral, descobrimos que os riscos relacionados à conectividade, como cyber atacks e vazamento de dados privados através de tecnologias, como Internet das Coisas, são os mais discutidos na literatura. Além disso, constatamos que existe carência de estudos na perspectiva ambiental e econômica. Por fim, foram sumarizadas contribuições gerenciais e potenciais direcionamentos para futuros pesquisadores.Palavras-chave: Indústria 4.0. Sustentabilidade. Gestão de Risco. ABSTRACTIndustry 4.0 is a growing topic, both in academia and in the practical context of companies. Current research focuses its efforts on studies of benefits and technologies involved in the concept of the Fourth Industrial Revolution, however, they rarely understand what the negative points are. Thus, through a systematic literature review conducted in January 2019, this study can understand what are the risks in evidence in the literature that companies in the industrial sector may face in the context of Industry 4.0. 66 articles were selected on the Scopus and Web of Science databases, which are the bibliometrically studied in relation to the most relevant authors and journals. Then, studying the 28 risks mapped in the literature by Soltovski et al. (2019), it was possible to understand which are the most representative in the literature from the perspective of sustainability (environmental, economic and social) and from a technological perspective. In general, we found that risks related to connectivity such as cyber attacks and data leakage are using technologies like the Internet of Things that are most discussed in the literature. In addition, we note that there is a lack of studies from an environmental and economic perspective. Finally, managerial contributions were summarized and directed to future researchers.Keywords: Industry 4.0. Sustainability. Risk Management.

scholarly journals Rotating Electrical Machine Condition Monitoring Automation—A Review

Machines ◽  
2017 ◽  
Vol 5 (4) ◽  
pp. 24 ◽  
Author(s):  
Mallikarjun Kande ◽  
Alf Isaksson ◽  
Rajeev Thottappillil ◽  
Nathaniel Taylor
Keyword(s):  
Condition Monitoring ◽  
Electrical Machine ◽  
Machine Condition ◽  
Machine Condition Monitoring

THE CONCEPT OF AUTONOMOUS SYSTEMS IN INDUSTRY 4.0

2019 ◽  
Vol 12 (1) ◽  
pp. 77-87
Author(s):  
György Kovács ◽  
Rabab Benotsmane ◽  
László Dudás
Keyword(s):  
Industry 4.0 ◽  
Intelligent Systems ◽  
Autonomous Systems ◽  
Essential Element ◽  
Industrial Sector ◽  
Life Cycles ◽  
Multi Agent Systems ◽  
New Paradigm ◽  
Intelligent Machines ◽  
Digital Network

Recent tendencies – such as the life-cycles of products are shorter while consumers require more complex and more unique final products – poses many challenges to the production. The industrial sector is going through a paradigm shift. The traditional centrally controlled production processes will be replaced by decentralized control, which is built on the self-regulating ability of intelligent machines, products and workpieces that communicate with each other continuously. This new paradigm known as Industry 4.0. This conception is the introduction of digital network-linked intelligent systems, in which machines and products will communicate to one another in order to establish smart factories in which self-regulating production will be established. In this article, at first the essence, main goals and basic elements of Industry 4.0 conception is described. After it the autonomous systems are introduced which are based on multi agent systems. These systems include the collaborating robots via artificial intelligence which is an essential element of Industry 4.0.

scholarly journals Development of Technological Capabilities through the Internet of Things (IoT): Survey of Opportunities and Barriers for IoT Implementation in Portugal’s Agro-Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3454
Author(s):  
Pedro D. Gaspar ◽  
Carlos M. Fernandez ◽  
Vasco N. G. J. Soares ◽  
João M. L. P. Caldeira ◽  
Hélio Silva
Keyword(s):  
Sustainable Development ◽  
Internet Of Things ◽  
Industrial Sector ◽  
The Internet ◽  
Meat Production ◽  
Maturity Level ◽  
Scarce Resources ◽  
Management Of Resources ◽  
Increase Productivity ◽  
The Internet Of Things

The agro-industrial sector consumes a significant amount of natural resources for farming and meat production. By 2050, population growth is expected, generating more demand and, consequently, more consumption of scarce resources. This challenging scenario is a concern of the European Commission, revealed in the Green Deal commitment and by the United Nations’ 12th goal of sustainable development. Thus, organizations must increase productivity and be more sustainable as soon as possible. Internet of Things (IoT) is introduced as a solution to facilitate agro-food companies to be more eco-efficient, mainly facing difficulties on farms, such as food loss and waste, best efficiency in management of resources, and production. The deployment of this technology depends on the stage of maturity and potential of implementation. To assess and characterize companies, with respect of IoT implementation, a survey was applied in 21 micro, small and medium agro-food companies, belonging to milk, honey, olive oil, jams, fruticulture, bakery and pastry, meat, coffee, and wine sectors, in the central region of Portugal. As results, this paper reveals the stage of maturity, level of sophistication, potential, opportunities, solutions, and barriers for implementation of IoT. Additionally, suggestions and recommendations to improve practices are discussed.

Dynamic Processes of Rotating System with Coupling

2006 ◽  
Vol 113 ◽  
pp. 213-218 ◽  
Author(s):  
Vytautas Barzdaitis ◽  
Marijonas Bogdevicius ◽  
Rimantas Didžiokas
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Elastic Plate ◽  
Diagnostic System ◽  
Complex Model ◽  
Dynamic Processes ◽  
Machine Condition ◽  
Rotating System ◽  
Machine Condition Monitoring ◽  
Dynamics And Vibration

The article concerns dynamics and vibration of a high power rotating system with toothed wheel coupling that inserts elastic plate packets. Theoretical modeling and simulation of the rotating system with toothed wheel coupling have been provided by a finite element method. Complex model involved a rotating system, hydrodynamic bearings and coupling. The dynamics of semi-couplings and plates have been simulated. Experimental measurement of vibration has been measured with stationary machine condition monitoring and a diagnostic system.

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

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