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dc.contributor.authorShirani Faradonbeh, Roohollah
dc.contributor.authorGhiffari Ryoza, Muhammad
dc.contributor.authorJang, Hyongdoo
dc.contributor.authorTopal, Erkan
dc.identifier.citationShirani Faradonbeh, R. and Ghiffari Ryoza, M. and Jang, H. and Topal, E. 2023. Practical Models To Distinguish Between Seismic Events And Blast Signals. In: 5th International Underground Excavations Symposium and Exhibition, 5th June 2023, Istanbul, Turkey.

The seismic events are contaminated with the blast/noise signals in microseismic monitoring of the underground excavations, negatively affecting the interpretation and detection of high-stress zones. This study proposes explicit and comprehensible classifiers by hybridizing the principal component analysis (PCA) with genetic programming (GP) and classification and regression tree (CART) algorithms. Six discriminant parameters representing the spectrum and source characteristics of the signals were used as input variables. PCA reduced the problem's dimensionality to two components, which were then fed into GP and CART algorithms as the new input variables. A systematic hyperparameter tuning procedure was employed to find the optimum values of the controlling parameters of the algorithms. The hybrid PCA-GP and PCA-CART classifiers provided practical mathematical equations and tree structures, respectively, capable of distinguishing between the signal types with high accuracy. However, the PCA-GP model outperformed the PCA-CART model based on the performance indices.

dc.titlePractical Models To Distinguish Between Seismic Events And Blast Signals
dc.typeConference Paper
dcterms.source.conference5th International Underground Excavations Symposium and Exhibition
dcterms.source.conference-start-date5 Jun 2023
dcterms.source.conferencelocationIstanbul, Turkey
curtin.departmentWASM: Minerals, Energy and Chemical Engineering
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidShirani Faradonbeh, Roohollah [0000-0002-1518-3597]
dcterms.source.conference-end-date7 Jun 2023
curtin.contributor.scopusauthoridShirani Faradonbeh, Roohollah [56598081500]

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