Detection of anomalies in multivariate data
US10474932B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2016 |
| Grant date | Nov 12, 2019 |
| Priority date | — |
| Expiry date | May 30, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/2433
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are systems, devices, and methods for detecting anomalies in multivariate data received from an asset-related data source, such as signal data and/or other data from an asset. According to an example, a platform may receive multivariate data from an asset in an original coordinate space and transform the data in the original coordinate space to a transformed coordinate space having a relatively fewer number of dimensions. Additionally, the platform may standardize the data in the transformed coordinate space and modify the standardized data based on a comparison between the standardized data and a set of threshold values previously defined via training data reflective of normal asset operation. Thereafter, the platform may inversely transform the modified data back to the original coordinate space and perform an analysis to detect anomalies.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.