Software implementation for acoustic emission event detection and parameter calculation

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Data
2023
Autor
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Nível acadêmico
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URI
http://hdl.handle.net/10183/258014
Assunto
Abstract
This work consists of the development of software that can identify acoustic emission events faster than the acquisition rate, and use them to compute the evolution of local parameters, which can be used as precursors of local and global collapse. The program was developed in Python, using a moving window with a floating threshold in which events are detected using the Short-Term Energy technique. The end is detected using the Zero-Cross-Rate, and is a part of the program that still needs impro  ... 
This work consists of the development of software that can identify acoustic emission events faster than the acquisition rate, and use them to compute the evolution of local parameters, which can be used as precursors of local and global collapse. The program was developed in Python, using a moving window with a floating threshold in which events are detected using the Short-Term Energy technique. The end is detected using the Zero-Cross-Rate, and is a part of the program that still needs improvement in accuracy. Overall, the program shows good performance and promising results for event detection and parameter calculation.  ... 
 
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Instituição
Universidade Federal do Rio Grande do Sul. Escola de Engenharia. Curso de Engenharia Mecânica.
Coleções
 
   

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