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PHM, or Prognostics and Health Management, is an engineering approach that uses sensor data to monitor the condition of a system, predict its future life, and optimize maintenance. It integrates technologies to detect anomalies, diagnose the root cause of faults, and estimate the Remaining Useful Life (RUL) of components. The goal is to enable Condition-based Maintenance, CBM, or Predictive Maintenance, PM, to improve safety, reliability, and efficiency while minimizing costs and downtime; it is a comprehensive approach that uses insights from prognostics and diagnostics to manage system health and reliability through informed maintenance decisions. The key components of PHM are: Prognostics: Predicts the future state of a system and estimates its Remaining Useful Life (RUL). Diagnostics: Identifies the root cause of a fault or anomaly. Health Management: A comprehensive approach that uses forecasting and diagnostic insights to manage system health and reliability through informed and optimal maintenance decisions. • RCADT - PHM: Prognostic & Health Management