A Hybrid Approach to Predictive Maintenance: Integrating AI-Driven Reliability Analysis in Smart Factories

Authors

  • Andrés Cristóbal Escuela de Ingeniería de Construcción y Transporte, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362804, Chile Author
  • Felipe Sebastián Escuela de Ingeniería de Construcción y Transporte, Pontificia Universidad Católica de Valparaíso, Valparaíso 2362804, Chile Author

Abstract

In the rapidly evolving landscape of manufacturing, the integration of advanced technologies is becoming increasingly vital for maintaining competitive advantage. One of the most promising developments in this arena is the adoption of predictive maintenance strategies, particularly those that leverage artificial intelligence (AI) and machine learning (ML). This article delves into the hybrid approach to predictive maintenance, emphasizing how AI-driven reliability analysis can enhance operational efficiency in smart factories.

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Published

2020-01-21

Issue

Vol. 1 No. 1 (2020): IJCRL

Section

Articles

How to Cite

A Hybrid Approach to Predictive Maintenance: Integrating AI-Driven Reliability Analysis in Smart Factories. (2020). International Journal of Contemporary Research and Literacy Works, 1(1), 14-25. https://ijcrl.com/1/article/view/5