Deep Neural Networks-Enabled Intelligent Fault Diagnosis of Mechanical Systems
Yan, Ruqiang, Zhao, Zhibin
- 出版商: CRC
- 出版日期: 2024-06-06
- 售價: $3,590
- 貴賓價: 9.5 折 $3,411
- 語言: 英文
- 頁數: 206
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032752378
- ISBN-13: 9781032752372
海外代購書籍(需單獨結帳)
商品描述
The book aims to highlight the potential of Deep Learning (DL)-based methods in Intelligent Fault Diagnosis (IFD), along with their benefits and contributions.
作者簡介
Ruqiang Yan is a professor at the School of Mechanical Engineering, Xi'an Jiaotong University. His research interests include data analytics, AI, and energy-efficient sensing and sensor networks for the condition monitoring and health diagnosis of large-scale, complex, dynamical systems.
Zhibin Zhao is an assistant professor at the School of Mechanical Engineering, Xi'an Jiaotong University. His research interests include sparse signal processing and machine learning, especially deep learning for machine fault detection, diagnosis, and prognosis.
