Predictive maintenance utilizing supervised sequence rule mining
US11150630B2 · kind B2 · utility
0Cited by
1References
16Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Oct 19, 2017 |
| Grant date | Oct 19, 2021 |
| Priority date | — |
| Expiry date | Feb 14, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/32194
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Statistically significant event patterns predict the timing for performing entity maintenance. Event patterns are determined based on a target variable having an undesired value for a given entity when the event pattern occurs. Event patterns are filtered based on distributions of the event patterns across multiple entities and distributions of event patterns during desired operation of the entities and undesired operation of the entities. A predictive maintenance process is established having significant event patterns as the basis for maintenance tasks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.