10 papers analyzed
These studies suggest predictive maintenance in Industry 4.0 improves machine downtime, costs, control, quality, system reliability, safety, and maintenance schedules through multidisciplinary approaches, big data processing, advanced modeling, and modular software platforms.
Industry 4.0 represents the integration of advanced technologies such as the Internet of Things (IoT), cyber-physical systems, big data analytics, and artificial intelligence into manufacturing processes. Predictive maintenance, a key component of Industry 4.0, leverages these technologies to predict equipment failures and optimize maintenance schedules, thereby reducing downtime and costs while improving production quality and efficiency.
Integration of Advanced Technologies:
Data-Driven Approaches:
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Predictive maintenance in the context of Industry 4.0 leverages advanced technologies and data-driven approaches to optimize maintenance processes, reduce downtime, and improve production efficiency. Despite facing several challenges, the development of robust frameworks and platforms, along with successful real-world applications, highlights the significant potential of predictive maintenance in modern manufacturing systems.
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