Large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization of geometry center, mass center, center of gravity and center of inertia
US11480490B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2019 |
| Grant date | Oct 25, 2022 |
| Priority date | — |
| Expiry date | Aug 25, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present invention provides a large-scale high-speed rotary equipment measuring and intelligent learning assembly method and device based on vector minimization geometry center, mass center, the center of gravity and the center of inertia, belonging to the technical field of mechanical assembly. The method includes the steps of establishing a four-parameter circular profile measuring model for a single stage of rotor, simplifying the established four-parameter circular profile measuring model for the single stage of rotor, and establishing a four-target optimization model of the geometry center, mass center, the center of gravity and the center of inertia of multiple stages of rotors based on the angular orientation mounting position of each stage of rotor. The device include a base, an air flotation shaft system, an aligning and tilt regulating workbench, precise force sensors, a static balance measuring platform, an upright column, a lower transverse measuring rod, a lower telescopic inductive sensor, an upper transverse measuring rod and an upper lever type inductive sensor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.