Patent · US Active

Discriminative hidden kalman filters for classification of streaming sensor data in condition monitoring

US10565080B2 · kind B2 · utility

1Cited by

3References

9Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Chao Yuan · Plainsboro, US
Amit Chakraborty · Plainsboro, US
Holger Hackstein · Dietzenbach, DE
Leif Wiebking · Birkenfeld, DE

Key dates

Filing date	Jun 11, 2013
Grant date	Feb 18, 2020
Priority date	—
Expiry date	Dec 7, 2034

Classification

Technology area (CPC G)Physics
CPC primaryG06F17/18
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method for monitoring a condition of a system or process includes acquiring sensor data from a plurality of sensors disposed within the system (S41 and S44). The acquired sensor data is streamed in real-time to a computer system (S42 and S44). A discriminative framework is applied to the streaming sensor data using the computer system (S43 and S45). The discriminative framework provides a probability value representing a probability that the sensor data is indicative of an anomaly within the system. The discriminative framework is an integration of a Kalman filter with a logistical function (S41).

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