Patent · US Active

Estimation of current and future machine states

US11836636B2 · kind B2 · utility

0Cited by

4References

20Claims

0Family size

Assignee

ABB Schweiz AG · CH

Inventors

Andrew Cohen · Steamboat Springs, US
Marcel Dix · Mannheim, DE

Key dates

Filing date	Jun 18, 2019
Grant date	Dec 5, 2023
Priority date	—
Expiry date	May 21, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG05B2219/33139
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Disclosed is a computer-implemented method for generating a prediction model. The model can be for use in processing machine event data to predict behavior of a plurality of industrial machines under supervision. The prediction model can be configured to determine current and future states of the industrial machines. The method can include: extracting event features from event codes and structuring the event features into feature vectors; and generating the prediction model by clustering the feature vectors into a plurality of vector clusters, the vector clusters being assigned to respective machine states. The prediction model can be constructed based on event data from a first industrial machine and be applied to control an operating state of a second industrial machine.

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