Acoustic emission entropy: An innovative approach for structural health monitoring of fracture‐critical metallic components subjected to fatigue loading

The paper presents an innovative approach for structural health monitoring of metallic components under fatigue crack phenomena. methodology is based on the evaluation information entropy acoustic emission (AE) data. AE testing growth (FCG) performed within extremely noisy environment. Basic data analysis demonstrated to be inefficient with regard specific conditions. proven a reliable damage-sensitive feature real-time assessment despite both significant noise disturbance and complexity/randomness This was also confirmed (time-)discontinuous processes over random-based detections. An protocol finally developed according experimental evidence considering recommendations current monitoring. found promising fracture-critical structures fatigue.