Adaptive training and deployment of single device and clustered device fault detection models for connected equipment
US11747776B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 11, 2022 |
| Grant date | Sep 5, 2023 |
| Priority date | — |
| Expiry date | Oct 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A fault prediction system for building equipment includes one or more memory devices configured to store instructions that, when executed on one or more processors, cause the one or more processors to receive device data for a plurality of devices of the building equipment, the device data indicating performance of the plurality of devices; generate, based on the received device data, a plurality of prediction models comprising at least one of single device prediction models generated for each of the plurality of devices or cluster prediction models generated for device clusters of the plurality of devices; label each of the plurality of prediction models as an accurately predicting model or an inaccurately predicting model based on a performance of each of the plurality of prediction models; and predict a device fault with each of the plurality of prediction models labeled as an accurately predicting model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.