Predictive maintenance system for spatially correlated industrial equipment
US11501132B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 7, 2020 |
| Grant date | Nov 15, 2022 |
| Priority date | — |
| Expiry date | Apr 16, 2041 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/80
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In example implementations described herein, there are systems and methods for processing sensor data from an equipment over a period of time to generate sensor time series data; processing the sensor time series data in a kernel weight layer configured to generate weights to weigh the sensor time series data; providing the weighted sensor time series data to fully connected layers configured to conduct a correlation on the weighted sensor time series data with predictive maintenance labels to generate an intermediate predictive maintenance label; and providing the intermediate predictive maintenance label to an inversed kernel weight layer configured to inverse the weights generated by the kernel weight layer, to generate a predictive maintenance label for the equipment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.