StuckAtConstantAnomaly

R2026b

Synthetic stuck-at-constant anomaly model for validating anomaly detection models

Since R2026a

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Description

Add-On Required: This feature requires the Time Series Anomaly Detection for MATLAB add-on.

The StuckAtConstantAnomaly object specifies the characteristics of an anomaly model that you can inject into a time series using injectAnomaly. This anomaly causes the time series to "stick" at a constant value for the duration of the anomaly. Name-value argument specifications in injectAnomaly determine the window location and length during which the anomaly occurs.

You create this model using syntheticAnomaly. StuckAtConstantAnomaly is one type of anomaly model in a set of anomaly objects that you can use to perturb a time series in multiple ways. You can then use this perturbed time series to help validate anomaly detection models against different anomaly types.

Plot of a stuck-at-constant anomaly within a ramp signal, as shown by a drop to a constant for a number of samples near the middle of the plot.

Properties

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Type of constant determination, represented as "Random","Max", "Min", or "Custom".

The following list describes the sticking constant for each type, within the anomaly window that you specify to injectAnomaly.

  • "Random" — Stick at a random value within the window.

  • "Max" — Stick at the maximum value of the time series within the window.

  • "Min" — Stick at the minimum value of the time series within the window.

  • "Custom" — Directly specify the value at which the time series sticks.

Object Functions

injectAnomaly Inject anomalies defined by one or more anomaly models into a univariate time series

Version History

Introduced in R2026a

See Also