Patent · US Active

Sequence mining in medical IoT data

US11307924B2 · kind B2 · utility

2Cited by

1References

17Claims

0Family size

Assignee

Siemens Healthcare Limited · DE

Inventors

Tobias Hipp · Nuremberg, DE
Thomas Hubauer · Garching bei München, DE
Ulli Waltinger · Hagebök, DE

Key dates

Filing date	Mar 16, 2020
Grant date	Apr 19, 2022
Priority date	—
Expiry date	May 8, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG16H50/70
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A computer-implemented method for configuring a computing device for predictive maintenance, a computer-implemented method for predictive maintenance as well as a predictive maintenance apparatus are disclosed. Training log files including event sequences are examined iteratively for sequences of increasing length in order to determine a set of configuration data containing event sequences that have high predictive power for a system failure. Forward and backward gap values are defined such that not only sequences in the exact same temporal order as in the training log files are examined but also sequences with slightly different temporal ordering. In this way, possibly imprecise and/or incorrect time stamps in log files are compensated.

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