Operation modal analysis following fast independent component analysis

Issue title: Proceedings from the 17th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2015)

Guest editors: Fumio Kojima, Futoshi Kobayashi and Hiroyuki Nakamoto

Article type: Research Article

Authors: Wang, Cheng^{a; b; *} | Wang, Jianying^a | Lai, Xiongming^c | Zhong, Bineng^a | Luo, Xiangyu^a | Ying, Hui^a | Yan, Guirong^b | Chen, Weibin^a | Li, Jing^a

Affiliations: [a] College of Computer Science and Technology, HuaQiao University, Xiamen, Fujian, China | [b] State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an, Shaanxi, China | [c] College of Mechanical and Automation, HuaQiao University, Xiamen, Fujian, China

Correspondence: [*] Corresponding author: Cheng Wang, College of Computer Science and Technology, HuaQiao University, No. 668, Jimei Road, Xiamen 361021, Fujian, China. E-mail:cheng.wang@stu.xjtu.edu.cn

Abstract: Because excellent properties of the fixed-point iteration algorithm of fast independent component analysis algorithm (FastICA) and better statistical properties of negative entropy and Newton iteration, a FastICA effectively combining negative entropy and Newton iteration for OMA is put forward in this paper. Modal parameter identification results on simulation data of beam show that this method could identify the main modal vibration modes and natural frequencies correctly and efficiently only from measured signals of stationary random vibration response and more robustness than gradient descent and information maximization based ICA for OMA.

Keywords: Operation modal analysis, natural frequencies, mode shapes, fast independent component analysis, negative entropy, Newton iteration

DOI: 10.3233/JAE-162201

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 52, no. 1-2, pp. 103-111, 2016