| 书目名称 | Structural Health Monitoring |
| 副标题 | An Advanced Signal P |
| 编辑 | Ruqiang Yan,Xuefeng Chen,Subhas Chandra Mukhopadhy |
| 视频video | |
| 概述 | 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 ac |
| 丛书名称 | Smart Sensors, Measurement and Instrumentation |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2017 |
| 关键词 | Structural Health Monitoring; Signal Processing; Condition Monitoring; Fault Diagnostics; Wavelet Theory |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-56126-4 |
| isbn_softcover | 978-3-319-85832-6 |
| isbn_ebook | 978-3-319-56126-4Series ISSN 2194-8402 Series E-ISSN 2194-8410 |
| issn_series | 2194-8402 |
| copyright | Springer International Publishing AG 2017 |
发表于 2025-3-21 17:20:31
