Patent · US Active

Assembly and method for predicting the remaining service life of a machine

US11243526B2 · kind B2 · utility

0Cited by

1References

9Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Christoph Bergs · Munich, DE
Marcel Hildebrandt · Munich, DE
Mohamed Khalil · Munich, DE
Serghei Mogoreanu · Munich, DE
Swathi Shyam Sunder · Munich, DE

Key dates

Filing date	Aug 12, 2019
Grant date	Feb 8, 2022
Priority date	—
Expiry date	Aug 12, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG05B2219/32234
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A plurality of basic simulations independent of one another are carried out, which determine respective remaining service life predictions for the machine. The remaining service life predictions and characteristic data are fed to a neural network, which outputs weights for the remaining service life predictions. A final prediction is calculated from the remaining service life predictions by weighting the remaining service life predictions relative to one another. A hybrid model is produced, which results from the combination of the basic simulations with the neural network. The remaining service life can be predicted not only for a small number of machines for which a specific simulation model has been manually created. The hybrid model enables condition monitoring for any further types and configurations of machines that merely belong to the same machine class. The basic simulations can therefore also be applied to previously unknown machines.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.