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Research laboratory in Industrial Safety Engineering and Sustainable Development
Institute of Maintenance and Industrial Safety

Curriculum vitae


University of Oran2 Mohamed ben Ahmed



Overview of Maintenance 4.0 and the associated approaches, and a preliminary case study in Algeria


Journal article


N. Aissani, Ibtissem Mechrour, Assia Filali
2021 International Conference on Networking and Advanced Systems (ICNAS), 2021

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APA   Click to copy
Aissani, N., Mechrour, I., & Filali, A. (2021). Overview of Maintenance 4.0 and the associated approaches, and a preliminary case study in Algeria. 2021 International Conference on Networking and Advanced Systems (ICNAS).


Chicago/Turabian   Click to copy
Aissani, N., Ibtissem Mechrour, and Assia Filali. “Overview of Maintenance 4.0 and the Associated Approaches, and a Preliminary Case Study in Algeria.” 2021 International Conference on Networking and Advanced Systems (ICNAS) (2021).


MLA   Click to copy
Aissani, N., et al. “Overview of Maintenance 4.0 and the Associated Approaches, and a Preliminary Case Study in Algeria.” 2021 International Conference on Networking and Advanced Systems (ICNAS), 2021.


BibTeX   Click to copy

@article{n2021a,
  title = {Overview of Maintenance 4.0 and the associated approaches, and a preliminary case study in Algeria},
  year = {2021},
  journal = {2021 International Conference on Networking and Advanced Systems (ICNAS)},
  author = {Aissani, N. and Mechrour, Ibtissem and Filali, Assia}
}

Abstract

In literature, in different industrial fields Maintenance 4.0 standards have been studied by many researchers to improve system reliability, availability, safety and maintenance cost control. In Maintenance 4.0 and predictive maintenance, researchers target the development of accurate models to assess the health state of components for particular applications supporting decision making. Prior accurate knowledge to implement Maintenance 4.0 in complex systems is essential to build reliable systems. To motivate industry practitioners and our project adoption, this paper tries to offer a systemic review on Maintenance 4.0 using historical data. In this paper, an experiment on real data of rotary machine is done to provide predictive maintenance tool


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