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The shift from Industry 4.0 to Industry 5.0 has really ramped up the need for smart, dependable, and self-sufficient industrial systems. Programmable Logic Controllers (PLCs), which have long been the backbone of industrial control, are now being enhanced with Machine Learning (ML), Edge Artificial Intelligence (Edge AI), and Explainable Artificial Intelligence (XAI) technologies to boost predictive maintenance and operational efficiency. Predictive maintenance allows industries to spot potential machine failures before they happen, cutting down on downtime and maintenance expenses. Yet, traditional AI models often function like black boxes, which can undermine trust and clarity in industrial settings. Explainable AI steps in to tackle this issue by offering clear reasoning behind its predictions. This review paper dives into the latest developments in PLC-integrated predictive maintenance systems that utilize Edge AI and XAI techniques. It covers industrial communication methods, ML algorithms, Edge AI deployment, real-world applications, current hurdles, and future research paths for intelligent manufacturing systems in Industry 5.0.