Anomaly identification method for structural monitoring data considering spatial-temporal correlation
US10943174B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 12, 2018 |
| Grant date | Mar 9, 2021 |
| Priority date | — |
| Expiry date | Mar 11, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention belongs to the technical field of health monitoring for civil structures, and an anomaly identification method considering spatial-temporal correlation is proposed for structural monitoring data. First, define current and past observation vectors for the monitoring data and pre-whiten them; second, establish a statistical correlation model for the pre-whitened current and past observation vectors to simultaneously consider the spatial-temporal correlation in the monitoring data; then, divide the model into two parts, i.e., the system-related and system-unrelated parts, and define two corresponding statistics; finally, determine the corresponding control limits of the statistics, and it can be decided that there is anomaly in the monitoring data when each of the statistics exceeds its corresponding control limit.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.