Identifying undamaged-beam status based on singular spectrum analysis and wavelet neural networks
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https://doi.org/10.15625/1813-9663/31/4/6417Keywords:
Singular spectrum analysis, frequency-based filter, wavelet neural networks, identifying structure.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 vibration-signal processing and measuring system named LAM_BRIDGE are all used.
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