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Advanced Modeling and Simulation in Engineering Sciences

Table 7 Damage localization, case 2

From: Fully convolutional networks for structural health monitoring through multivariate time series classification

\(\varvec{N}_{\varvec{0}}\)

\(\varvec{\lbrace {\mathcal {F}}_{*} \rbrace }\)

\(\varvec{A}_{\varvec{l}}\)

1

\(i=8\)

0.226

2

\(i=\,\)(4, 8)

0.722

3

\(i=\,\)(2, 4, 8)

0.774

4

\(i=\,\)(2, 4, 6, 8)

0.906

5

\(i=\,\)(2, 4, 6, 7, 8)

0.865

6

\(i=\,\)(2, 4, 5, 6, 7, 8)

0.937

7

\(i=\,\)(2, 3, 4, 5, 6, 7, 8)

0.899

8

\(i=\,\)(1, 2, 3, 4, 5, 6, 7, 8)

0.993

  1. Accuracy \({\mathbb {A}}_{l}\) of the classifier \({\mathcal {G}}_l\) evaluated on \({\mathbb {D}}^l_{test}\). Different numbers \(N_0\) of input channels \({\mathcal {F}}_{*}\), related to \({u}^{sh}_i\), are employed. Here, \(f_{min}=5\) and \(f_{min}=7\) Hz
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