An integrated multivariate empirical mode decomposition method towards modal identification of structures
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An integrated multivariate empirical mode decomposition method towards modal identification of structures
Authors
Keywords
-
Journal
JOURNAL OF VIBRATION AND CONTROL
Volume 23, Issue 17, Pages 2727-2741
Publisher
SAGE Publications
Online
2015-12-11
DOI
10.1177/1077546315621207
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modal parameters identification of power transformer winding based on improved Empirical Mode Decomposition method
- (2014) Chao Geng et al. ELECTRIC POWER SYSTEMS RESEARCH
- Decentralized Modal Identification of a Pony Truss Pedestrian Bridge Using Wireless Sensors
- (2013) A. Sadhu et al. Journal of Bridge Engineering
- Multi-fault diagnosis of rotor system based on differential-based empirical mode decomposition
- (2013) Li Ming et al. JOURNAL OF VIBRATION AND CONTROL
- A novel signal compression method based on optimal ensemble empirical mode decomposition for bearing vibration signals
- (2012) Wei Guo et al. JOURNAL OF SOUND AND VIBRATION
- A study and extension of second-order blind source separation to operational modal analysis
- (2012) J. Antoni et al. JOURNAL OF SOUND AND VIBRATION
- Time-Frequency Blind Source Separation Using Independent Component Analysis for Output-Only Modal Identification of Highly Damped Structures
- (2012) Yongchao Yang et al. JOURNAL OF STRUCTURAL ENGINEERING
- A review on empirical mode decomposition in fault diagnosis of rotating machinery
- (2012) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Blind identification of damage in time-varying systems using independent component analysis with wavelet transform
- (2012) Yongchao Yang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Enhanced Hilbert-Huang transform and its application to modal identification
- (2012) Omid Bahar et al. STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS
- Hybrid Time-Frequency Blind Source Separation Towards Ambient System Identification of Structures
- (2011) B. Hazra et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- EMD-based random decrement technique for modal parameter identification of an existing railway bridge
- (2011) X.H. He et al. ENGINEERING STRUCTURES
- Filter Bank Property of Multivariate Empirical Mode Decomposition
- (2011) Naveed ur Rehman et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Underdetermined Blind Identification of Structures by Using the Modified Cross-Correlation Method
- (2011) B. Hazra et al. JOURNAL OF ENGINEERING MECHANICS
- RETRACTED: Structural system identification for vibration bridges using the Hilbert–Huang transform
- (2011) Te-Yu Liu et al. JOURNAL OF VIBRATION AND CONTROL
- An analytic formulation for blind modal identification
- (2011) SI McNeill JOURNAL OF VIBRATION AND CONTROL
- Multivariate EMD and full spectrum based condition monitoring for rotating machinery
- (2011) Xiaomin Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Method for eliminating mode mixing of empirical mode decomposition based on the revised blind source separation
- (2011) Baoping Tang et al. SIGNAL PROCESSING
- Output only modal identification and structural damage detection using time frequency & wavelet techniques
- (2010) S. Nagarajaiah et al. Earthquake Engineering and Engineering Vibration
- Re-tuning tuned mass dampers using ambient vibration measurements
- (2010) B Hazra et al. Smart Materials and Structures
- Time-varying system identification using a newly improved HHT algorithm
- (2009) Chunxiao Bao et al. COMPUTERS & STRUCTURES
- Fault diagnosis of rotating machinery using an improved HHT based on EEMD and sensitive IMFs
- (2009) Yaguo Lei et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Analytical basics of the EMD: Two harmonics decomposition
- (2009) Michael Feldman MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multivariate empirical mode decomposition
- (2009) N. Rehman et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Application of the EEMD method to rotor fault diagnosis of rotating machinery
- (2008) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started