hanr_fbiad: Anomaly detector using FBIAD

In harbinger: A Unified Time Series Event Detection Framework

Anomaly detector using FBIAD

Description

Forward and Backward Inertial Anomaly Detector (FBIAD) detects anomalies in time series by comparing each observation against both forward and backward inertial context.

Usage

hanr_fbiad(sw_size = 30)

Arguments

sw_size

Window size for FBIAD.

Value

hanr_fbiad object.

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 May 8, 2026, 5:07 p.m.