Debonding Detection of Precast Concrete Segmental Bridges Using Ensemble Superwavelet Transform
- 28 September 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Arabian Journal for Science and Engineering
- Vol. 47 (4), 4623-4638
- https://doi.org/10.1007/s13369-021-06194-2
Abstract
No abstract availableKeywords
Funding Information
- the National Nature Science Foundation of China (Grant No. 52078057)
- Major State Basic Research Development Program of China (2015CB057704)
- the National Nature Science Foundation of China (Grant No. 51378081)
- the Hunan Provincial Innovation Foundation for Postgraduates (3020202-012301209)
This publication has 27 references indexed in Scilit:
- Early fault feature extraction of rolling bearing based on ICD and tunable Q-factor wavelet transformMechanical Systems and Signal Processing, 2017
- Vibration behaviors of a damaged bridge under moving vehicular loadsSTRUCTURAL ENGINEERING AND MECHANICS, 2016
- Improved Ensemble Superwavelet Transform for Vibration-Based Machinery Fault DiagnosisJournal of Manufacturing Science and Engineering, 2016
- Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transformMechanical Systems and Signal Processing, 2015
- Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transformMechanical Systems and Signal Processing, 2014
- An Experimental Study on the Performance of Piezoceramic-Based Smart Aggregate in Water EnvironmentIEEE Sensors Journal, 2014
- Active Debonding Detection for Large Rectangular CFSTs Based on Wavelet Packet Energy Spectrum with PiezoceramicsJournal of Structural Engineering, 2013
- Tunable Q-factor wavelet transform denoising with neighboring coefficients and its application to rotating machinery fault diagnosisScience China Technological Sciences, 2013
- Analysis and Design of Prestressed Precast Hollow Core Slabs Using Strut and Tie MethodArabian Journal for Science and Engineering, 2012
- Wavelet Transform With Tunable Q-FactorIEEE Transactions on Signal Processing, 2011