tailieunhanh - Identifying undamaged beam status based on singular spectrum analysis and wavelet neural networks

In this paper, the identifying undamaged-beam status based on singular spectrum analysis (SSA) and wavelet neural networks (WNN) is presented. First, a database is built from measured sets and SSA which works as a frequency-based filter. A WNN model is then designed which consists of the wavelet frame building, wavelet structure designing and establishing a solution for training the WNN. | Journal of Computer Science and Cybernetics, , (2015), 341–355 DOI: IDENTIFYING UNDAMAGED-BEAM STATUS BASED ON SINGULAR SPECTRUM ANALYSIS AND WAVELET NEURAL NETWORKS SY DZUNG NGUYEN1,2,∗ , QUOC HUNG NGUYEN2 , KIEU NHI NGO3 1 Divisionof Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam 2 Department of Mechanical Engineering, Industrial University of Ho Chi Minh City, Vietnam 3 The Lab. of Applied Mechanics, Ho Chi Minh City University of Technology, Ho Chi Minh City, Vietnam ∗ Corresponding author: Sy Dzung Nguyen; nguyensydung@ or nsidung@ Abstract. In this paper, the identifying undamaged-beam status based on singular spectrum analysis (SSA) and wavelet neural networks (WNN) is presented. First, a database is built from measured sets and SSA which works as a frequency-based filter. A WNN model is then designed which consists of the wavelet frame building, wavelet structure designing and establishing a solution for training the WNN. Surveys via an experimental apparatus for estimating the method are carried out. In this work, a beam-typed iron frame, Micro-Electro-Mechanical (MEM) sensors and a vibrationsignal processing and measuring system named LAM BRIDGE are all used. Keywords. Singular spectrum analysis, frequency-based filter, wavelet neural networks, identifying structure 1. INTRODUCTION Automatic monitoring structural condition during its service life which is also called Structural Health Monitoring (SHM) is a necessary work. The core of any health monitoring system is the ability to automatically identify structural damages consisting of localizing, predicting damages occurred in the structure and also estimating severity of them [1]. These are in terms of response and performance under operational and environmental loadings in real time based on feedback information from the structure. In SHM systems, as usual, the current .