Aircraft structural health monitoring by fusing sensor data

Other (2021)

Authors

Agnes A.R. Broer Structural Integrity & Composites - Aerospace Engineering
D. Zarouchas Structural Integrity & Composites - Aerospace Engineering
R. Benedictus Structural Integrity & Composites - Aerospace Engineering
Research Group
Structural Integrity & Composites (Aerospace Engineering) (TU Delft)
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Published Date

2021

Language

English

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Faculty

Aerospace Engineering

Department

Aerospace Structures & Materials

Research Group

Structural Integrity & Composites

Abstract

Aircraft structural maintenance is often done following a fixed-time interval or failure-based approach. However, this can be costly and time-consuming. A smarter way can be to move towards condition-based maintenance in which maintenance is done based on the actual condition of a structure: if there are indications that the structure is damaged, maintenance is performed. In my work, I develop AI-based diagnostic methods that can be used for such purpose. For this, I fuse sensor data obtained using acoustic emission sensors and distributed fiber optic strain sensors. Each sensing technique has its own capacities and monitors different damage. By fusing their data, a holistic image of the damage in a structure can be obtained on all four structural health monitoring levels: 1)detection, 2) localization, 3) identification, and 4) severity.