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  • © 2017

Structural Health Monitoring

An Advanced Signal Processing Perspective

  • Focuses on newly-developed signal processing techniques and their applications to various mechanical and structural systems
  • Encompasses interdisciplinary areas, such as smart materials, sensors and actuators, damage diagnosis and prognosis, signal and image processing algorithms, and wireless intelligent sensing
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Smart Sensors, Measurement and Instrumentation (SSMI, volume 26)

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Hardcover Book USD 169.99
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Table of contents (13 chapters)

  1. Front Matter

    Pages i-xi
  2. Advanced Signal Processing for Structural Health Monitoring

    • Ruqiang Yan, Xuefeng Chen, Subhas C. Mukhopadhyay
    Pages 1-11
  3. Wavelet Transform Based on Inner Product for Fault Diagnosis of Rotating Machinery

    • Shuilong He, Yikun Liu, Jinglong Chen, Yanyang Zi
    Pages 65-91
  4. Time-Frequency Manifold for Machinery Fault Diagnosis

    • Qingbo He, Xiaoxi Ding
    Pages 131-154
  5. Compressive Sensing: A New Insight to Condition Monitoring of Rotary Machinery

    • Gang Tang, Huaqing Wang, Yanliang Ke, Ganggang Luo
    Pages 203-225
  6. Sparse Representation of the Transients in Mechanical Signals

    • Zhongkui Zhu, Wei Fan, Gaigai Cai, Weiguo Huang, Juanjuan Shi
    Pages 227-258
  7. Time-Frequency Demodulation Analysis Based on LMD and Its Applications

    • Yanxue Wang, Xuefeng Chen, Yanyang Zi
    Pages 321-345
  8. On the Use of Stochastic Resonance in Mechanical Fault Signal Detection

    • X. F. Zhang, N. Q. Hu, L. Zhang, X. F. Wu, L. Hu, Z. Cheng
    Pages 347-375

About this book

This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.

Editors and Affiliations

  • School of Instrument Science and Engineering, Southeast University, Nanjing, China

    Ruqiang Yan

  • School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China

    Xuefeng Chen

  • Department of Engineering, Macquarie University, Sydney, Australia

    Subhas Chandra Mukhopadhyay

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access