Quality Events
Detectors for quality-related events: outliers, statistical process control, and tolerance deviations over time series.
- OutlierDetectionEvents: Detect and group outlier events in a time series.
- detect_outliers_zscore: Detect outliers using Z-score thresholding and group nearby points.
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detect_outliers_iqr: Detect outliers using IQR bounds and group nearby points.
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StatisticalProcessControlRuleBased: Apply Western Electric rules to actual values using tolerance context to flag control-limit violations.
- calculate_control_limits: Compute mean and ±1/±2/±3 standard-deviation bands from tolerance rows.
- process: Apply selected rules and emit event rows for violations.
- rule_1: One point beyond the 3-sigma control limits.
- rule_2: Nine consecutive points on one side of the mean.
- rule_3: Six consecutive points steadily increasing or decreasing.
- rule_4: Fourteen consecutive points alternating up and down.
- rule_5: Two of three consecutive points near the control limit (between 2 and 3 sigma).
- rule_6: Four of five consecutive points near the control limit (between 1 and 2 sigma).
- rule_7: Fifteen consecutive points within 1 sigma of the mean.
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rule_8: Eight consecutive points on both sides of the mean within 1 sigma.
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ToleranceDeviationEvents: Flag intervals where actual values cross/compare against tolerance settings and group them into start/end events.
- process_and_group_data_with_events: Build grouped deviation events with event UUIDs.
Modules: