Name
Abstract | ||
|---|---|---|
A detection of anomaly events in a non-stationary time series resembling vibration aspects is often based on the signal envelope. Both commonly used approaches, i.e. the Hilbert transform and the empirical mode decomposition, lead to high processing power requirements. As anomalies are assumed to be rare, we propose simplified methods based on extreme value theory that enable trend corrections and anomaly event occurrence detection. Both methods are based on the upper and lower envelope approximations that are constructed using maxima and minima limits of the signal. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICSAI.2018.8599319 | 2018 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) |
Field | DocType | ISSN |
Control theory,Computer science,Mathematical analysis,Extreme value theory,Maxima and minima,Signal envelope,Value theory,Hilbert transform,Vibration,Hilbert–Huang transform | Conference | 2474-0217 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| R. Marik | 1 | 102 | 25.15 |
| Leos Bohác | 2 | 6 | 2.15 |