Frequency Domain Nonlinear Vibration Features for Fault Diagnosis in Complex Structures, 9789819617012
Hardcover
Uncover hidden faults in complex structures using nonlinear vibration analysis.

Frequency Domain Nonlinear Vibration Features for Fault Diagnosis in Complex Structures

$365.99

  • Hardcover

    259 pages

  • Release Date

    6 March 2025

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Summary

Unlocking Structural Secrets: Nonlinear Vibration for Fault Diagnosis

This book offers a deep dive into the latest advancements in frequency domain nonlinear vibration features, revolutionizing fault diagnosis in complex structures across mechanical, civil, aeronautical, and aerospace engineering disciplines. Through theoretical analysis, simulations, and experimental studies, it meticulously unveils their fundamental principles, benefits, limitations, and practical applications.

Book Details

ISBN-13:9789819617012
ISBN-10:9819617014
Author:Quankun Li, Xingjian Jing
Publisher:Springer Nature Switzerland AG
Imprint:Springer Nature Switzerland AG
Format:Hardcover
Number of Pages:259
Release Date:6 March 2025
Weight:0g
Dimensions:235mm x 155mm
About The Author

Quankun Li

Dr. Quankun Li received his B.Eng. degree from Nanjing University of Aeronautics and Astronautics, China, in 2011, M.Eng. degree in Propulsion Theory and Engineering of Aeronautics and Astronautics from Northwestern Polytechnical University, China, in 2014, and Ph.D. degree in Mechanical Engineering from Hong Kong Polytechnic University, China, in 2020, respectively. He is now Associate Professor with the School of Power and Energy, Northwestern Polytechnical University, and his current research topic is the Vibration Control and Fault Diagnosis of mechanical structures including satellites, engines, aircrafts, vehicles, etc. He currently serves as Guest Associate Editor on Vibration Systems of Frontiers in Mechanical Engineering, Reviewer Editor on Energetics and Propulsion of Frontiers in Aerospace Engineering, and Section collection Editor on Vibration Systems of Mechanical Engineering Advances.

Prof. Xingjian Jing received his B.S. degree from Zhejiang University, China, M.S. degree and Ph.D. degree in Robotics from Shenyang Institute of Automation, Chinese Academy of Sciences, China, respectively. He also achieved a Ph.D. degree in nonlinear systems and signal processing from University of Sheffield, U.K. He is now Professor with the Department of Mechanical Engineering, City University of Hong Kong, and his current research interests are generally related to Nonlinear Dynamics, Vibration, Control and Robots, focusing on theory and methods for employing nonlinear benefits in engineering, including nonlinear frequency domain methods, nonlinear system identification or signal processing, vibration control, robust control, sensor technology, energy harvesting, nonlinear fault diagnosis or information processing, bio-inspired systems and methods, bio-inspired robotics and control, etc.

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