System for maintenance recommendation based on failure prediction
US10901832B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2017 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Jan 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0283
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Example implementations described herein involve a system for maintenance recommendation based on data-driven failure prediction. The example implementations can involve estimating the probability of having a failure event in the near future given sensor measurements and events from the equipment, and then alerts the system user or maintenance staff if the probability of failure exceeds a certain threshold. The example implementations utilize historical failure cases along with the associated sensor measurements and events to learn a group of classification models that differentiate between failure and non-failure cases. In example implementations, the system then chooses the optimal model for failure prediction such that the overall cost of the maintenance process is minimized.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.