Earticle

초록

영어

Transmissibility function (TF) was used in structural state detection which examined the change of the response-only vibration characteristics. The technology of signal correlation was utilized to obtain the TF between two testing points. Multiple TFs under different states were calculated as basic TFs and formed a state matrix. Subsequently, non-negative matrix factorization (NMF) was performed for the state matrix. Then both the basic and testing TFs were projected to the feature subspace derived from NMF so as to obtain the state feature index vectors, respectively. Finally, the Euclidean distance between state feature index vectors was defined as the state indicator. The experimental results indicated that this method can achieve better detection accuracy than that using magnitude indicator. Actually, a result with 100 percent correct detection was achieved when proper rule of dimensionality reduction was selected. This method is essentially a multivariate statistical process monitoring (MSPM) method. It is feasible in vibration-based structural state detection in the situation where the excitation signals are unavailable or inaccessible.

목차

Abstract
 1. Introduction
 2. Materials and Methods
  2.1. Transmissibility Function
  2.2. Non-negative Matrix Factorization
  2.3. State Detection based on TF and NMF
 3. Experiment and Discuss
 4. Conclusions
 References

키워드

저자

• Tongqun Ren [ Key Laboratory for Precision & Non-traditional Machining of the Ministry of Education, Dalian University of Technology, Dalian, 116024，China, Key Laboratory for Micro/Nano Technology and System of Liao Ning Province, Dalian University of Technology, Dalian, 116024, China ]
• Meiling Hui [ Key Laboratory for Micro/Nano Technology and System of Liao Ning Province, Dalian University of Technology, Dalian, 116024, China ]
• Junsheng Liang [ Key Laboratory for Precision & Non-traditional Machining of the Ministry of Education, Dalian University of Technology, Dalian, 116024，China, Key Laboratory for Micro/Nano Technology and System of Liao Ning Province, Dalian University of Technology, Dalian, 116024, China ]
• Dazhi Wang [ Key Laboratory for Micro/Nano Technology and System of Liao Ning Province, Dalian University of Technology, Dalian, 116024, China ]
• Liang He [ Key Laboratory for Micro/Nano Technology and System of Liao Ning Province, Dalian University of Technology, Dalian, 116024, China ]
• Yonghang Chen [ School of Mechanical and Electrical Engineering, Wuyi University, Jiangmen, 529020, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605