Multi-sensor analysis and data point correlation for predictive monitoring and maintenance of a pressurized fluid cutting system
US11106191B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Sep 19, 2018 |
| Grant date | Aug 31, 2021 |
| Priority date | — |
| Expiry date | May 28, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B2219/50185
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method and system utilizing multi-sensor analysis and data point correlation is provided for predictive monitoring and maintenance of a pressurized fluid cutting system. In a disclosed aspect, multiple sensed characteristics of system operation are correlated to determine a particular failure mode. Identification of the failure mode through active sensor data analysis and correlation facilitates predictive maintenance, minimizes system downtime, and optimizes system output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.