Patent · US Active

System and method for forecasting industrial machine failures

US11442444B2 · kind B2 · utility

0Cited by

1References

19Claims

0Family size

Assignee

AKTIEBOLAGET SKF · SE

Inventors

David LAVID BEN LULU · Yoqneam Illit, IL
Nir Dromi · Rehovot, IL

Key dates

Filing date	Feb 4, 2021
Grant date	Sep 13, 2022
Priority date	—
Expiry date	Feb 4, 2041

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02P90/02
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system and method for forecasting failures in industrial machines, including: receiving raw sensory inputs collected from at least one machine; generating a plurality of data features based on the raw sensory inputs; selecting from the plurality of data features a plurality of indicative data features, wherein the selection is based on a distribution of the plurality of indicative data features that determines an association between the plurality of indicative data features and a machine failure; selecting, based on the plurality of indicative data features, a machine learning model; applying the selected machine learning model to the plurality of indicative data features; and determining a probability for a forthcoming machine failure.

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