hanr_fbiad: Anomaly detector using FBIAD

In harbinger: A Unified Time Series Event Detection Framework

Anomaly detector using FBIAD

Description

Anomaly detector using FBIAD

Usage

hanr_fbiad(sw_size = 30)

Arguments

sw_size

Window size for FBIAD

Value

hanr_fbiad object Forward and Backward Inertial Anomaly Detector (FBIAD) detects anomalies in time series. Anomalies are observations that differ from both forward and backward time series inertia doi:10.1109/IJCNN55064.2022.9892088.

References

• Lima, J., Salles, R., Porto, F., Coutinho, R., Alpis, P., Escobar, L., Pacitti, E., Ogasawara, E. Forward and Backward Inertial Anomaly Detector: A Novel Time Series Event Detection Method. Proceedings of the International Joint Conference on Neural Networks, 2022. doi:10.1109/IJCNN55064.2022.9892088

Examples

library(daltoolbox)

# Load anomaly example data
data(examples_anomalies)

# Use a simple example
dataset <- examples_anomalies$simple
head(dataset)

# Configure FBIAD detector
model <- hanr_fbiad()

# Fit the model
model <- fit(model, dataset$serie)

# Run detection
detection <- detect(model, dataset$serie)

# Show detected anomalies
print(detection[(detection$event),])

harbinger documentation built on Feb. 11, 2026, 9:06 a.m.