Bearing Fault Detection

Struktura detects bearing faults from raw vibration data with zero domain knowledge.

CWRU Bearing Data Center results

Using 12kHz vibration data from Case Western Reserve University:

All three fault types detected. The shift magnitude correlates with fault severity.

How to use it

#![allow(unused)]
fn main() {
use struktura::{analyze, health_check};

let normal = analyze(&normal_vibration);
let baseline = normal.dfa.alpha; // establish during healthy operation

// Later, during monitoring:
let current = analyze(&current_vibration);
let verdict = health_check(&current, baseline);
// verdict == HealthVerdict::Critical if bearing is degrading
}

Why DFA catches what FFT misses

FFT detects frequency changes. But early bearing degradation changes the correlation structure of the vibration — the way peaks relate to each other over time — before it introduces new frequency components. DFA measures this correlation structure directly.