Introduction Unexpected equipment failure is one of the major causes of production loss in industries. Traditional maintenance methods either repair machines after failure or service them at fixed intervals. AI-Based Predictive Maintenance offers a smarter solution by predicting equipment problems before breakdown occurs. It combines Artificial Intelligence, Machine Learning, Industrial IoT, sensors, and condition monitoring to continuously assess machine health and support timely maintenance decisions. How Does It Work? Sensors installed on industrial machines collect real-time operating data such as: • Vibration • Temperature • Pressure • Motor current • Speed • Acoustic signals • Lubricant condition The collected data is processed using AI and machine-learning algorithms. These algorithms identify abnormal patterns and compare them with normal operating behaviour. When early signs of a fault are detected, the system alerts maintenance personnel before serious failure occurs. Typical...