System and method for detecting anomalies in sensory data of industrial machines located within a predetermined proximity
US11933695B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2019 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Mar 20, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system and computer-implemented method for detecting anomalies in industrial machine sensor data, including: computing, based on a received suspected anomalous level value of a sensory input data of each of the a plurality of sensory input data of a plurality of industrial machines that are located within a predetermined proximity, an average anomalous amount that is associated with at least a time interval; and determining that at least one of the plurality of suspected anomalies is an anomaly when a result of a subtraction of the computed average anomalous amount from each suspected anomalous level value of the plurality of sensory input data exceeds a predetermined threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.