Dual-Type Structural Response Reconstruction Based on Moving-Window Kalman Filter with Unknown Measurement Noise-Reference-Cited by-同舟云学术

Dual-Type Structural Response Reconstruction Based on Moving-Window Kalman Filter with Unknown Measurement Noise

Published:2019-07 Issue:4 Volume:32 Page:04019029
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Zhang X. H.¹,Wu Z. B.²

Affiliation:

1. Associate Professor, College of Civil Engineering, Fuzhou Univ., No. 2 Xueyuan Rd., University Town, Fuzhou, Fujian 350108, China (corresponding author).

2. M.Sc. Candidate, College of Civil Engineering, Fuzhou Univ., No. 2 Xueyuan Rd., University Town, Fuzhou, Fujian 350108, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29AS.1943-5525.0001016

Reference30 articles.

1. A dual Kalman filter approach for state estimation via output-only acceleration measurements

2. Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter

3. Structural response reconstruction based on empirical mode decomposition in time domain

4. Structural Identification by Extended Kalman Filter

5. A modal decomposition and expansion approach for prediction of dynamic responses on a monopile offshore wind turbine using a limited number of vibration sensors

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