Keith Worden

Summary

Affiliation: University of Sheffield
Country: UK

Publications

  1. ncbi request reprint The application of machine learning to structural health monitoring
    Keith Worden
    Dynamics Research Group, Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
    Philos Trans A Math Phys Eng Sci 365:515-37. 2007
  2. ncbi request reprint An introduction to structural health monitoring
    Charles R Farrar
    Engineering Science and Applications Division, Los Alamos National Laboratory Los Alamos, Los Alamos, NM 87545, USA
    Philos Transact A Math Phys Eng Sci 365:303-15. 2007
  3. ncbi request reprint Evaluation of neural network robust reliability using information-gap theory
    S Gareth Pierce
    Faculty of Mechanical Engineering, Technion Israel Institute of Technology, Haifa 32000, Israel
    IEEE Trans Neural Netw 17:1349-61. 2006

Detail Information

Publications3

  1. ncbi request reprint The application of machine learning to structural health monitoring
    Keith Worden
    Dynamics Research Group, Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK
    Philos Trans A Math Phys Eng Sci 365:515-37. 2007
    ..The object of this paper is to illustrate the utility of the data-driven approach to damage identification by means of a number of case studies...
  2. ncbi request reprint An introduction to structural health monitoring
    Charles R Farrar
    Engineering Science and Applications Division, Los Alamos National Laboratory Los Alamos, Los Alamos, NM 87545, USA
    Philos Transact A Math Phys Eng Sci 365:303-15. 2007
    ..In conclusion, technical challenges that must be addressed if SHM is to gain wider application are discussed in a general manner...
  3. ncbi request reprint Evaluation of neural network robust reliability using information-gap theory
    S Gareth Pierce
    Faculty of Mechanical Engineering, Technion Israel Institute of Technology, Haifa 32000, Israel
    IEEE Trans Neural Netw 17:1349-61. 2006
    ....