All Outputs (4)

Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes. (2024)
Presentation / Conference Contribution
FATUKASI O.S., ABOLLE-OKOYEAGU, J., PRATHURU, A. and SOLADEMI, O. 2024. Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes. Presented at the 12th Annual conference of Society of structural integrity and life (DIVK12), 17-19 November 2024, Belgrade, Serbia.

External impacts represent a prevalent source of structural damage in pipes/piping systems. Detecting and identifying the nature, and the severity of these impacts would enhance the reliability and operational safety of such critical infrastructure.... Read More about Machine learning-enhanced acoustic emission technique for impact source identification and classification in steel pipes..

Quantitative analysis of the Hsu-Nielsen source through advanced measurement and simulation techniques. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., FATUKASI, O., DROUBI, G. and REUBEN, R.L. 2024. Quantitative analysis of the Hsu-Nielsen source through advanced measurement and simulation techniques. Journal of physics: conference series [online], 2805: proceedings of the 8th International conference on mechanical, aeronautical and automotive engineering 2024 (ICMAA 2024), 02-04 February 2024, Penang, Malaysia: [virtual event], article 012013. Available from: https://doi.org/10.1088/1742-6596/2805/1/012013

This paper presents the results from conducting a series of experiments with a Hsu-Nielsen Source, accompanied by corresponding numerical simulations on a solid block. The aim being to illustrate a Finite Element Analysis (FEA) approach for simulatin... Read More about Quantitative analysis of the Hsu-Nielsen source through advanced measurement and simulation techniques..

A comparative study of acoustic emissions from pencil lead breaks on steel and aluminum substrates using signal analysis. (2024)
Presentation / Conference Contribution
FATUKASI, O.S., ABOLLE-OKOYEAGU, C.J. and PANCHOLI, K. 2024. A comparative study of acoustic emissions from pencil lead breaks on steel and aluminum substrates using signal analysis. In Proceedings of the 2024 Society of Petroleum Engineers (SPE) Nigeria annual international conference and exhibition (NAICE 2024), 5-7 August 2024, Lagos, Nigeria. Hosted on OnePetro [online], paper number SPE-221670-MS. Available from: https://doi.org/10.2118/221670-MS

Pipeline infrastructure plays a crucial role in various industries, such as water management, transportation, oil and gas. Detecting and monitoring potential failures or leaks in pipelines is of paramount importance to ensure safety, prevent environm... Read More about A comparative study of acoustic emissions from pencil lead breaks on steel and aluminum substrates using signal analysis..

Measurement and simulation of the propagation of impulsive acoustic emission sources in pipes. (2024)
Journal Article
ABOLLE-OKOYEAGU, C.J., FATUKASI, S. and REUBEN, B. 2024. Measurement and simulation of the propagation of impulsive acoustic emission sources in pipes. Acoustics [online], 6(3), pages 620-637. Available from: https://doi.org/10.3390/acoustics6030034

Acoustic Emission (AE) testing is a non-destructive evaluation technique that has gained significant attention in pipeline monitoring. Pencil-lead breaks (PLBs) are commonly used in reproducing and characterising sensors used in AE applications and h... Read More about Measurement and simulation of the propagation of impulsive acoustic emission sources in pipes..