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Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals

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dc.contributor.author Ramatlo, Dineo AM
dc.contributor.author Loveday, Philip W
dc.contributor.author Long, Craig S
dc.contributor.author Wilke, DN
dc.date.accessioned 2019-04-02T07:31:21Z
dc.date.available 2019-04-02T07:31:21Z
dc.date.issued 2018-09
dc.identifier.citation Ramatlo, D.A.M. et al. 2018. Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals. Eleventh South African Conference on Computational and Applied Mechanics (SACAM 2018), Vanderbijlpark, South Africa, 17-19 September 2018 en_US
dc.identifier.uri https://www.vut.ac.za/wp-content/uploads/2017/08/Draft-SACAM-2018-Program.pdf
dc.identifier.uri http://hdl.handle.net/10204/10903
dc.description Paper presented at the Eleventh South African Conference on Computational and Applied Mechanics (SACAM 2018), Vanderbijlpark, South Africa, 17-19 September 2018 en_US
dc.description.abstract Continuously welded heavy haul railway lines experience very large stresses due to high axle loads and varying environmental conditions. en_US
dc.language.iso en en_US
dc.publisher SACAM en_US
dc.relation.ispartofseries Worklist;22271
dc.subject Ultrasonic guided wave signals en_US
dc.subject Probability of damage detection en_US
dc.subject Environmental and operational conditions en_US
dc.subject Received operator chaacteristic curves en_US
dc.subject Guided wave ultrasound en_US
dc.title Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Ramatlo, D. A., Loveday, P. W., Long, C. S., & Wilke, D. (2018). Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals. SACAM. http://hdl.handle.net/10204/10903 en_ZA
dc.identifier.chicagocitation Ramatlo, Dineo AM, Philip W Loveday, Craig S Long, and DN Wilke. "Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals." (2018): http://hdl.handle.net/10204/10903 en_ZA
dc.identifier.vancouvercitation Ramatlo DA, Loveday PW, Long CS, Wilke D, Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals; SACAM; 2018. http://hdl.handle.net/10204/10903 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Ramatlo, Dineo AM AU - Loveday, Philip W AU - Long, Craig S AU - Wilke, DN AB - Continuously welded heavy haul railway lines experience very large stresses due to high axle loads and varying environmental conditions. DA - 2018-09 DB - ResearchSpace DP - CSIR KW - Ultrasonic guided wave signals KW - Probability of damage detection KW - Environmental and operational conditions KW - Received operator chaacteristic curves KW - Guided wave ultrasound LK - https://researchspace.csir.co.za PY - 2018 T1 - Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals TI - Estimation of probability of defect detection by combining simulated defect signatures with measured ultrasonic guided wave signals UR - http://hdl.handle.net/10204/10903 ER - en_ZA


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