Paper Details
AI Driven Predictive Maintenance for Industry 4.0 Applications
Authors
Ravi Kumar Perumallapalli
Abstract
This paper presents a comprehensive survey of AI-driven predictive maintenance within the framework of Industry 4.0, highlighting its potential to enhance operational efficiency and reduce costs associated with equipment failures. We examine various artificial intelligence methodologies, including machine learning, deep learning, and reinforcement learning, and discuss their effectiveness in predicting maintenance needs. Despite the significant advantages, the adoption of these technologies faces challenges related to data quality, scalability, and human factors. By identifying these barriers and providing insights into best practices and real-world case studies, this survey aims to equip practitioners and researchers with the knowledge necessary to successfully implement AI-driven predictive maintenance systems, fostering more reliable and efficient industrial operations
Keywords
AI-Driven Predictive Maintenance, Industry 4.0, Machine Learning, Deep Learning
Citation
AI Driven Predictive Maintenance for Industry 4.0 Applications. Ravi Kumar Perumallapalli. 2023. IJIRCT, Volume 9, Issue 1. Pages 1-9. https://www.ijirct.org/viewPaper.php?paperId=2411018