Anomaly Detection in Discrete Manufacturing Systems by Pattern Relation Table Approaches

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

Subroutine 6Repeated Events Extracting Subroutine (

D, E

)

Input: Training data set D, Event set E

Output: Repeated event set $E_{r}$

1:
$E_{r} \leftarrow \emptyset$
2:
for sequence $d_{i}$ in D do
3:
for event $e_{i}$ in E do
4:
if pattern $e_{i} \dots e_{i}$ in $d_{i}$ and $e_{i} \notin E_{r}$ then
5:
$E_{r}$ .add( $e_{i}$ )
6:
end if
7:
end for
8:
end for
9:
return $E_{r}$