Presentation
25 April 2023 Smart crack monitoring system leveraging NDE datasets (Conference Presentation)
Sarah Malik, Antonios Kontsos
Author Affiliations +
Abstract
Industry 4.0 is based on digitization, information crosslinking and networks. In this investigation an Industrial Internet of Things (IIoT) architecture developed by the authors is used in conjunction with NDE datasets for near real-time diagnostics of crack initiation. Acoustic Emission datasets were acquired using aerospace-grade aluminum alloy and were subsequently used in the IIoT system, which is capable of Edge, Fog, and Cloud computing. The main innovation of this approach is a combination of hardware, computing and Machine Learning analysis proves to be advantageous in implementing a data structure that can successfully flag the incubation and subsequent initiation of fracture.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sarah Malik and Antonios Kontsos "Smart crack monitoring system leveraging NDE datasets (Conference Presentation)", Proc. SPIE 12489, NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE, 124890B (25 April 2023); https://doi.org/10.1117/12.2658000
Advertisement
Advertisement
KEYWORDS
Nondestructive evaluation

Data modeling

Diagnostics

Thermal modeling

Acoustic emission

Clouds

Image processing

Back to Top