Research Article

Anomaly Detection in QAR Data Using VAE-LSTM with Multihead Self-Attention Mechanism

Table 4

Statistical information of four public benchmark datasets.

DatasetTotal lengthTrain lengthTest lengthMeanStd.Anomaly rate (%)

KPI19000075000150002.38400.91745.18
KPI2175621000075620.19110.10040.79
NAB11805015500255037.479414.40960.08
NAB240323000103245.10791.87740.29