Sensors, industrial monitoring, and quality control¶
These examples focus on process monitoring: sensor streams, maintenance windows, and manufacturing-style quality-control data.
Sensor anomaly detection
Detect unusual sensor windows using robust covariance geometry.
Predictive maintenance
Flag degradation-like windows before downstream rules or classifiers.
Quality control
Separate stable process variation from abnormal production runs.
How to use this topic¶
Start with the first card if you want the simplest demonstration. Then move to the more specialized page when the data shape matches your problem. Every page includes captured output, plots, interpretation notes, and a command to reproduce the result.