Nonlinear output frequency response functions: A new evaluation approach and applications to railway and manufacturing systems’ condition monitoring-Reference-Cited by-同舟云学术

Nonlinear output frequency response functions: A new evaluation approach and applications to railway and manufacturing systems’ condition monitoring

Published:2022-01 Issue: Volume:163 Page:108179
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhu Yun-Peng,Lang Z.Q.,Mao Han-Ling,Laalej Hatim

Funder

Royal Society

Engineering and Physical Sciences Research Council

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference38 articles.

1. Linear Systems;Antsaklis,2006

2. Nonlinear frequency response based adaptive vibration controller design for a class of nonlinear systems;Thenozhi;Mech. Syst. Signal Proc.,2018

3. D. A. George, Continuous nonlinear systems (No. TR-355). Massachusetts Inst of Tech Cambridge Research Lab of Electronics, 1959.

4. Nonlinearity in Structural Dynamics: Detection, Identification and Modelling;Worden,2019

5. Decoupling analysis on nonlinear system based on the modified generalized frequency response functions;Xiao;Mech. Syst. Signal Proc.,2014

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digital twin-based anomaly detection for real-time tool condition monitoring in machining;Journal of Manufacturing Systems;2024-08

2. System identification based on characteristic curves: a mathematical connection between power series and Fourier analysis for first-order nonlinear systems;Nonlinear Dynamics;2024-07-01

3. Decoding imagined speech with delay differential analysis;Frontiers in Human Neuroscience;2024-05-17

4. Application of nonlinear system identification and feature extraction in fault diagnosis of the cracked cantilever beam;Journal of Vibration and Control;2024-03-02

5. On-line condition monitoring for rotor systems based on nonlinear data-driven modelling and model frequency analysis;Nonlinear Dynamics;2024-02-07