Automated machine analysis
US10921777B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 2019 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | May 9, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/80
- WIPO fieldMachine tools
- WIPO sectorMechanical engineering
Abstract
A method for automated condition monitoring whereby techniques of automated vibration analysis and signal processing are combined with deep learning/machine learning techniques for an enhanced system of automated anomaly detection, problem classification, and problem regression. The method may be implemented in software, firmware or hardware to run autonomously. Machines monitored and analyzed according to the disclosed method are typically found in industrial plants or commercial applications, but the disclosed invention may be applied to any rotating equipment such as motors, fans, pumps, compressors, and etc., in any environment where they are functioning.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.