Das Szenario
A predictive maintenance team needs to generate synthetic time-series sensor data to supplement limited real data for training failure prediction models.
Was diese Zeichnung zeigt
Die dahinterstehenden Entscheidungen verstehen.
01Select generation approach
physics-based simulation vs. data-driven generative model
02Validate realism of synthetic data
loop back to adjust parameters if not statistically realistic
Use this diagram when designing a synthetic data pipeline for machine learning in industrial IoT or predictive maintenance contexts where real failure data is scarce.