Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0

Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0

The study encompasses the application of two different advanced optimization algorithms on asset management and predictive maintenance in Industry 4.0—Grey Wolf Optimization and Jaya-based Sea Lion Optimization (J-SLnO). Using this derivative, the authors showed how these techniques could be combine...

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Bibliographic Details
Main Authors: A. N. Arularasan, P. Ganeshkumar, Mohammad Alkhatib, Tahani Albalawi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
Industry 4.0
optimization algorithms
predictive maintenance
Grey Wolf Optimization (GWO)
J-SLnO
Online Access:https://www.mdpi.com/1424-8220/25/9/2896
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