Fault prediction method and fault prediction system for predecting a fault of a machine
US12066797B2 · kind B2 · utility
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Key dates
| Filing date | Jan 26, 2022 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Jan 26, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY10S901/47
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An anomality prediction system, which predicts an anomality of a machine, includes: one or more memories; and one or more processors configured to: obtain a state variable including at least one of output data from at least one sensor that detects a state of at least one of the machine or a surrounding environment, internal data of control software controlling the machine, or computational data obtained based on at least one of the output data or the internal data; generate, by inputting the obtained state variable into a machine learning model, a degree of anomality of the machine based on output from the machine learning model; and notify information based on the generated degree of anomality, wherein the notified information includes at least one of the generated degree of anomality at one or more time points, or one or more levels of anomality based on the generated degree of anomality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.