+44-3308224832Rahul Deshpande
Predictive maintenance (PdM) is a proactive approach that utilizes data analytics and machine learning to forecast equipment failures before they occur. This method contrasts with reactive maintenance, where repairs happen after breakdowns, and preventive maintenance, which follows fixed schedules regardless of equipment condition (Clancy S 2008). Artificial intelligence (AI) enables PdM to analyze sensor data in real time, detect anomalies, and recommend corrective actions. The result is reduced downtime, optimized asset utilization, and lower maintenance costs. AI’s role in PdM is expanding across industries such as manufacturing, energy, aviation, and transportation. This article examines AI-driven predictive maintenance systems, their architecture, challenges, and future prospects.
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