Literature DB >> 33672479

Predictive Maintenance and Intelligent Sensors in Smart Factory: Review.

Martin Pech1, Jaroslav Vrchota1, Jiří Bednář1.   

Abstract

With the arrival of new technologies in modern smart factories, automated predictive maintenance is also related to production robotisation. Intelligent sensors make it possible to obtain an ever-increasing amount of data, which must be analysed efficiently and effectively to support increasingly complex systems' decision-making and management. The paper aims to review the current literature concerning predictive maintenance and intelligent sensors in smart factories. We focused on contemporary trends to provide an overview of future research challenges and classification. The paper used burst analysis, systematic review methodology, co-occurrence analysis of keywords, and cluster analysis. The results show the increasing number of papers related to key researched concepts. The importance of predictive maintenance is growing over time in relation to Industry 4.0 technologies. We proposed Smart and Intelligent Predictive Maintenance (SIPM) based on the full-text analysis of relevant papers. The paper's main contribution is the summary and overview of current trends in intelligent sensors used for predictive maintenance in smart factories.

Entities:  

Keywords:  Industry 4.0; intelligent sensors; maintenance; smart factory

Year:  2021        PMID: 33672479     DOI: 10.3390/s21041470

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  5 in total

1.  Scalable Biofabrication: A Perspective on the Current State and Future Potentials of Process Automation in 3D-Bioprinting Applications.

Authors:  Nils Lindner; Andreas Blaeser
Journal:  Front Bioeng Biotechnol       Date:  2022-05-20

2.  Application Perspective on Cybersecurity Testbed for Industrial Control Systems.

Authors:  Ondrej Pospisil; Petr Blazek; Karel Kuchar; Radek Fujdiak; Jiri Misurec
Journal:  Sensors (Basel)       Date:  2021-12-04       Impact factor: 3.576

Review 3.  Performance Measurement System and Quality Management in Data-Driven Industry 4.0: A Review.

Authors:  Parkash Tambare; Chandrashekhar Meshram; Cheng-Chi Lee; Rakesh Jagdish Ramteke; Agbotiname Lucky Imoize
Journal:  Sensors (Basel)       Date:  2021-12-29       Impact factor: 3.576

4.  An Augmented Reality-Assisted Prognostics and Health Management System Based on Deep Learning for IoT-Enabled Manufacturing.

Authors:  Liping Wang; Dunbing Tang; Changchun Liu; Qingwei Nie; Zhen Wang; Linqi Zhang
Journal:  Sensors (Basel)       Date:  2022-08-28       Impact factor: 3.847

Review 5.  A Survey of Human Gait-Based Artificial Intelligence Applications.

Authors:  Elsa J Harris; I-Hung Khoo; Emel Demircan
Journal:  Front Robot AI       Date:  2022-01-03
  5 in total

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