Introduction
Prognosis Health Monitoring System is a relatively new technology implemented in industry in relation to its function of detection, diagnosis and failure prognosis which is able to assess and predict into the future health condition of the engine or one of its components for a fixed time horizon or predict the time to failure.
In this Prognosis Health Monitoring System, data / signal collection is carried out and based on the Machine Learning method, the system will be able to detect anomalies that occur in signals that have a relationship with the health condition of the equipment.
Methodology
System Architecture
Gas Turbine Compressor – Model Component (ISO-14224)
Data Pre-processing
Anomaly Detection – Spike Analysis
Forecast / Prediction
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