Paraskevi Th. Zacharia

Machine Learning-Based Fault Classification for Intelligent Condition Monitoring in Industrial Production Systems

Industrial production systems require intelligent maintenance solutions to minimize unplanned downtime, improve reliability, and support data-driven decision making. This study presents a machine learning framework for condition monitoring and fault classification in industrial p...

Time-Series Machine Learning for Fault Diagnosis and Severity Estimation in Industrial Processes

Industrial fault detection and diagnosis are essential for maintaining operational reliability and minimizing performance degradation in process industries. This study presents an integrated machine learning framework for fault detection, fault-type classification, and fault seve...