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- W2289028246 abstract "AbstractThis paper proposes a novel hierarchical data fusion technique for the non-destructive testing (NDT) and condition assessment of timber utility poles. The new method analyzes stress wave data from multisensor and multiexcitation guided wave testing using a hierarchical data fusion model consisting of feature extraction, data compression, pattern recognition, and decision fusion algorithms. The researchers validate the proposed technique using guided wave tests of a sample of in situ timber poles. The actual health states of these poles are known from autopsies conducted after the testing, forming a ground-truth for supervised classification. In the proposed method, a data fusion level extracts the main features from the sampled stress wave signals using power spectrum density (PSD) estimation, wavelet packet transform (WPT), and empirical mode decomposition (EMD). These features are then compiled to a feature vector via real-number encoding and sent to the next level for further processing. Princi..." @default.
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- W2289028246 date "2016-09-01" @default.
- W2289028246 modified "2023-10-17" @default.
- W2289028246 title "Condition Assessment of Timber Utility Poles Based on a Hierarchical Data Fusion Model" @default.
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- W2289028246 doi "https://doi.org/10.1061/(asce)cp.1943-5487.0000563" @default.
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