| 54 |
Titel |
TI |
[EN] Method and device for condition monitoring |
| 71/73 |
Anmelder/Inhaber |
PA |
AIRBUS OPERATIONS GMBH, DE
;
GERDES MIKE, DE
;
RANDERATH BERNHARD, DE
;
SCHOLZ DIETER, DE
|
| 72 |
Erfinder |
IN |
GERDES MIKE, DE
;
RANDERATH BERNHARD, DE
;
SCHOLZ DIETER, DE
|
| 22/96 |
Anmeldedatum |
AD |
30.05.2012 |
| 21 |
Anmeldenummer |
AN |
201214119529 |
|
Anmeldeland |
AC |
US |
|
Veröffentlichungsdatum |
PUB |
26.04.2016 |
33
31
32 |
Priorität |
PRC
PRN
PRD |
DE
102011076780
31.05.2011
|
33
31
32 |
PRC
PRN
PRD |
EP
2012060182
30.05.2012
|
33
31
32 |
PRC
PRN
PRD |
US
201161491407
31.05.2011
|
| 51 |
IPC-Hauptklasse |
ICM |
B64F 5/00
(2006.01)
|
| 51 |
IPC-Nebenklasse |
ICS |
G05B 23/02
(2006.01)
|
|
IPC-Zusatzklasse |
ICA |
|
|
IPC-Indexklasse |
ICI |
|
|
Gemeinsame Patentklassifikation |
CPC |
B64F 5/60
G05B 23/024
|
|
MCD-Hauptklasse |
MCM |
B64F 5/00
(2006.01)
|
|
MCD-Nebenklasse |
MCS |
G05B 23/02
(2006.01)
|
|
MCD-Zusatzklasse |
MCA |
|
| 57 |
Zusammenfassung |
AB |
[EN] A computer-implemented method, a computer program product and a device for the condition monitoring of a component or system, such as for an aircraft or spacecraft. The method includes: providing an optimized decision tree, the nodes of which contain attributes of an input vector, the leaves of which each contain a classification function and the connections of which between the nodes are weighted; providing an input vector derived from a data signal; implementing a condition monitoring in which the condition of the component or system is determined using the weighted decision tree and on the basis of the input vector. In addition to an item of information concerning which of the classification functions of the decision tree best corresponds to the input vector, an additional item of information concerning the probability with which the other classes of the decision tree correspond to the examined input vector is calculated and output. |
| 56 |
Entgegengehaltene Patentdokumente/Zitate,
in Recherche ermittelt |
CT |
US000006687640B1
US000007892080B1
US000008814082B2
US020020032889A1
US020120130695A1
US020120185172A1
US020120278263A1
US020130304676A1
US020140237595A1
|
| 56 |
Entgegengehaltene Patentdokumente/Zitate,
vom Anmelder genannt |
CT |
CA000002524735A1
CN000001204435A
DE000004012278A1
EP000001755013A2
US000006871201B2
US000007558764B2
US020030236789A1
|
| 56 |
Entgegengehaltene Nichtpatentliteratur/Zitate,
in Recherche ermittelt |
CTNP |
|
| 56 |
Entgegengehaltene Nichtpatentliteratur/Zitate,
vom Anmelder genannt |
CTNP |
Chinese Office Action, Jul. 3, 2015. 1;
Diagnosis accuracy in electric power apparatus conditions using classification methods, IEEE Transactions.., 2010, pp. 271-279. 1;
German Office Action, Jan. 25, 2012. 1;
International Search Report, Jul. 10, 2012. 1;
Schwingungsdiagnostische Beurteilung von Maschinen und Anlagen, Klein Ulrich, 2000, pp. 153-169. 1;
Soft decision trees: A genetically optimized cluster oriented approach, Shulka et al. , 2007. 1
|
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Prüfstoff-IPC |
ICP |
B64F 5/00
B64F 5/60
|
