vs-anomaly

EWMA-based statistical anomaly detection for automotive signal monitoring.

Overview

This crate implements an Exponential Weighted Moving Average (EWMA) detector for real-time anomaly detection on automotive signal streams. It tracks a running mean and variance, computing z-scores against each new observation to flag statistical outliers without heap allocation.

Key Types

• EwmaDetector — stateful EWMA detector with configurable alpha and z-threshold
• HistogramDetector<BINS> — frequency-based anomaly detection using byte-value histograms
• MarkovDetector<N> — Markov chain transition probability detector
• AnomalyScore — detection result containing the z-score and anomalous flag

Usage

use vs_anomaly::{EwmaDetector, AnomalyScore};

let mut detector = EwmaDetector::new(0.3, 3.0).expect("valid params");
if let Some(score) = detector.update(42.0) {
    if score.is_anomalous {
        // handle anomaly
    }
}

License

Apache-2.0. See LICENSE.