The condition monitoring system continuously collects and analyzes various physical data such as temperature, torque, and flow rates. This enables the detection of early warning signals before a failure occurs, giving operators time to respond proactively. Each machine builds its own health scoring profile over time, allowing a clear view of how components behave under real operating conditions.These insights are based on machine-specific fingerprints, which help distinguish normal patterns from emerging issues. With this approach, condition monitoring becomes a powerful tool for predicting failures and improving long-term equipment reliability.