Safety Evaluation Based on Identification Approaches Related to Time-Variant and Nonlinear Structures

  • Hans G. Natke
  • Geoffrey R. Tomlinson
  • James T. P. Yao

Table of contents

  1. Front Matter
    Pages I-X
  2. Y. Ben-Haim, C. Cempel, H. G. Natke, J. T. P. Yao
    Pages 1-11
  3. C. Cempel, H. G. Natke
    Pages 44-61
  4. W. J. Staszewski, G. R. Tomlinson
    Pages 62-74
  5. N. Stubbs, K. G. Topole
    Pages 93-106
  6. Ling Ge, T. J. Meyer, D. J. Mook, T. T. Soong
    Pages 238-254
  7. J. H. Zhang, H. G. Natke, Y. Qiu, X. N. Zhang
    Pages 255-275
  8. F. Brancaleoni, D. Spina, C. Valente
    Pages 276-291

About this book

Introduction

Safety evaluation by definition involves many complex factors and thus covers a wide range of topics. In order to focus the content of the workshop the subject matter was specific to the state of the art and the recent developments in nonlinear and time-variant methods employing identification procedures. Participants in the workshop represented a wide range of expertise. They were se­ lected in order to cover the state of the art of knowledge in fault-detection and dam­ age assessment, system identification, signal processing, mathematical and physical modelling and applications of techniques such as fuzzy logic and neural networks. The emphasis was placed on the exploitation and understanding of nonlinearity arising from structural or material faults. Figure 1 indicates the range of topics covered in the workshop. Since no unique or general approach yet exists for treating nonlinearity in the field of safety evaluation, many of the topics presented were problem specific. In order to assist the reader in selecting the material of primary interest a matrix of the topics covered by each participant is shown in Table 1. This table relates the authors to the subject matter, providing a guide through the diverse range of topics presented at the workshop.

Keywords

Sensor Signal algorithm calculus diagnosis fuzzy linearity logic machine modeling network neural networks operating system robot

Authors and affiliations

  • Hans G. Natke
    • 1
  • Geoffrey R. Tomlinson
    • 2
  • James T. P. Yao
    • 3
  1. 1.Curt-Risch-InstitutUniversität HannoverGermany
  2. 2.Dept. of EngineeringUniversity of ManchesterUK
  3. 3.Dept. of Civil EngineeringTexas A & M UniversityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-322-89467-0
  • Copyright Information Springer Fachmedien 1993
  • Publisher Name Vieweg+Teubner Verlag
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-528-06535-5
  • Online ISBN 978-3-322-89467-0
  • About this book
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