Fault Prediction is the process of using historical and real-time data to estimate whether a system, component, or process is likely to develop a fault. It analyzes patterns such as abnormal measurements, operating conditions, and previous failures to identify early warning signs.
For example, sensors on a wind turbine can detect changes in vibration and temperature that may indicate future component problems. Predictive models help maintenance teams act before failure occurs, reducing downtime, improving reliability, extending asset life, and enabling proactive maintenance planning.
