System and method for predicting failure of components using temporal scoping of sensor data
US11663496B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 21, 2018 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Sep 5, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example method comprises receiving first historical data of a first time period and failure data, identifying at least some sensor data that was or potentially was generated during a first failure, removing the at least some sensor data to create filtered historical data, training a classification model using the filtered historical data, the classification model indicating at least one first classified state at a second period of time prior to the first failure indicated by the failure data, applying the classification model to second sensor data to identify a first potential failure state based on the at least one first classified state, the second sensor data being from a subsequent time period, generating an alert if the first potential failure state is identified based on at least a first subset of sensor signals generated during the subsequent time period, and providing the alert.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.