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Multi-feature integration and machine learning for guided wave structural health monitoring: Application to switch rail foot

Author(s): ORCID (Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou, China)
(Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou, China)
(Institute of Modern Manufacture Engineering, Zhejiang University, Hangzhou, China)
(Institute of Advanced Digital Technologies and Instrumentation, Zhejiang University, Hangzhou, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 20
Page(s): 147592172198957
DOI: 10.1177/1475921721989577
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/1475921721989577.
  • About this
    data sheet
  • Reference-ID
    10579045
  • Published on:
    02/03/2021
  • Last updated on:
    29/06/2021
 
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