Predictive Maintenance
Use sensor trend data and event logs to create labeled data and train models against failure or maintenance events.
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Learn how machine learning techniques work on industrial data, experiment with your own data, and build intuition before using real production datasets.
ML Playground lets users upload a dataset, simulate one, or pull from a URL or GitHub repository. From there, users can explore data, preprocess it, and train classification, regression, forecasting, or anomaly-detection models from an interactive dashboard.
The built-in learning section explains how each technique works through live, adjustable simulations.
Use sensor trend data and event logs to create labeled data and train models against failure or maintenance events.
Train models that separate operating states, fault classes, product outcomes, or process conditions.
Estimate continuous outputs such as quality, performance, temperature, vibration level, or production metrics.
Identify abnormal observations or patterns without needing every fault type labeled in advance.