Patent · US Active

Systems and methods for learning of normal sensor signatures, condition monitoring and diagnosis

US9443201B2 · kind B2 · utility

2Cited by

3References

21Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Heiko Claussen · New Brunswick, US
Justinian Rosca · Monmouth Junction, US
Hans-Gerd Brummel · Berlin, DE
Edward D. Thompson · South Elgin, US

Key dates

Filing date	May 12, 2011
Grant date	Sep 13, 2016
Priority date	—
Expiry date	Oct 23, 2032

Classification

Technology area (CPC G)Physics
CPC primaryG06F18/2433
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Systems and methods to monitor a signal from an apparatus are disclosed. A feature extracted from the signal is automatically defined. Signals are received over a period of time wherein the apparatus is in a normal operational mode. Features are classified in a learning mode and are applied to create a reference model that defines a within-normal operational mode. In a testing mode a signal generated by the apparatus is received, a feature is extracted and classified. Instantaneous data generated in operational mode by the apparatus is classified by the system as abnormal if it does not lie within boundaries of the reference model or contains information/structure in an orthogonal subspace. A learned reference model is augmented by a user or automatically. In one illustrative example the apparatus is a power generation equipment and the signal is an acoustic signal.

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