Predictive Maintenance Model Using Hybrid Procedure of Improved Quantum Cat Swarm Optimisation for Asset Management in Industry 4.0-Reference-Cited by-同舟云学术

Predictive Maintenance Model Using Hybrid Procedure of Improved Quantum Cat Swarm Optimisation for Asset Management in Industry 4.0

Published:2024 Issue: Volume: Page:499-515
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Kanchana S.,Rajan Dhivya,Mahaveerakannan R.,Sagar K. V. Daya,Subramanian P.,Rajakumar B.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-6547-2_38

Reference25 articles.

1. Aksa K, Aitouche S, Bentoumi H, Sersa I (2021) Developing a web platform for the management of the predictive maintenance in smart factories. Wireless Pers Commun 119(2):1469–1497

2. Hassankhani Dolatabadi S, Budinska I (2021) Systematic literature review predictive maintenance solutions for SMEs from the last decade. Machines 9(9):191

3. Fernandes J, Reis J, Melão N, Teixeira L, Amorim M, (2021) The role of Industry 4.0 and BPMN in the arise of condition-based and predictive maintenance: a case study in the automotive industry. Appl Sci 11(8):3438

4. Drakaki M, Karnavas YL, Tzionas P, Chasiotis ID (2021) Recent developments towards industry 4.0 oriented predictive maintenance in induction motors. Proced Comp Sci 180:943–949

5. Mourtzis D, Angelopoulos J, Panopoulos N (2021) Design and development of an IoT enabled platform for remote monitoring and predictive maintenance of industrial equipment. Proced Manuf 54:166–171

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