Method and system for unsupervised anomaly detection and accountability with majority voting for high-dimensional sensor data
US11448570B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Jun 4, 2019 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Dec 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
One embodiment can provide a system for detecting anomaly for high-dimensional sensor data associated with one or more machines. During operation, the system can obtain sensor data from a set of sensor associated with one or machines, apply data exploration techniques on the sensor data to automatically process sensor data to identify a subset of feature sensors from the available set of feature sensors, apply an unsupervised machine-learning technique to the identified subset of feature sensors and the target sensor to learn a set of pair-wise univariate models, and determine whether and how an anomaly occurs in the operation of the one or more machines based on the set of pair-wise univariate models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.