Development of edge computing machine learning models for acoustic monitoring in industrial 4.0 applications

Project Member(s): Zhao, S., Cheng, E.

Funding or Partner Organisation: Automation Acoustics P/L
Automation Acoustics P/L

Start year: 2023

Summary: This project will perform preliminary recording data processing and analysis to investigate the feasibility of welding process monitoring and fault prognosis based on acoustic signals. The analysis results will assist the industry partner in identifying their future direction for product development and commercialization, producing an economic impact by our research.

FOR Codes: Signal processing, Deep learning, Additive manufacturing , MANUFACTURING, Artificial intelligence

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.