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. 2020 Oct 12;20(20):5766. doi: 10.3390/s20205766

Subroutine 5 Anomaly Detection of Any Sequence

σ

Input: Model $M = {E, E_{n}, L P, P, T}$ , test sequence $σ$

Output: Detect if $σ$ is normal or abnormal

1:
Extract the event set $\hat{E}$ of $σ$ .
2:
if $\hat{E} ⊉ E_{n}$ or $E ⊉ \hat{E}$ then
3:
return $σ$ is abnormal.
4:
end if
5:
$S L \leftarrow$ Sequence Splitting Routine( $σ, L P, E$ )
6:
for pattern pair ( $p_{i}, p_{i + 1}$ ) in $S L$ do
7:
if $T (p_{i}, p_{i + 1})$ is ∅ then
8:
return $σ$ is abnormal.
9:
end if
10:
end for
11:
return $σ$ is normal.