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Table 6 Damage localization, case 2

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

\(\varvec{f}_{\varvec{min}}\) - \(\varvec{f}_{\varvec{max}}\)(Hz)

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

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

\(15-17\)

\(\{{\varvec{u}}^{sh}_i\}_{i=1}^8\)

0.972

\(15-17\)

\(\{{\varvec{u}}^{ax}_i\}_{i=1}^8\)

0.972

\(15-17\)

\(\{{\varvec{u}}^{sh}_i\}_{i=1}^8\) and \(\{{\varvec{u}}^{ax}_i\}_{i=1}^8\)

0.986

\(5-7\)

\(\{{\varvec{u}}^{sh}_i\}_{i=1}^8\)

0.993

\(5-7\)

\(\{{\varvec{u}}^{ax}_i\}_{i=1}^8\)

0.892

\(5-7\)

\(\{{\varvec{u}}^{sh}_i\}_{i=1}^8\) and \(\{{\varvec{u}}^{ax}_i\}_{i=1}^8\)

0.972

  1. Accuracy \({\mathbb {A}}_{l}\) of the classifier \({\mathcal {G}}_l\) evaluated on \({\mathbb {D}}^l_{test}\)