EP 4320493 A2 20240214 - PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPMENT
Title (en)
PREDICTIVE MAINTENANCE OF INDUSTRIAL EQUIPMENT
Title (de)
PRÄDIKTIVE WARTUNG VON INDUSTRIEANLAGEN
Title (fr)
MAINTENANCE PRÉDICTIVE D'ÉQUIPEMENT INDUSTRIEL
Publication
Application
Priority
- US 202117223525 A 20210406
- US 202263322055 P 20220321
- US 2022022846 W 20220331
Abstract (en)
[origin: WO2022216522A2] Among other things, systems and techniques are described for predictive maintenance of industrial equipment. Sensor data is obtained, e.g., using sensor hubs that are configured to capture sensor data associated with one or more operating conditions of the industrial equipment. The sensor data is input to a trained machine learning model. The trained machine learning model includes a physics based feature extraction model and a deep learning based automatic feature extraction model. Operating conditions associated with operation of the industrial equipment are predicted using the trained machine learning models.
IPC 8 full level
G05B 23/02 (2006.01); G01M 13/045 (2019.01)
CPC (source: EP)
G01H 1/003 (2013.01); G01H 17/00 (2013.01); G01M 13/045 (2013.01); G05B 19/406 (2013.01); G05B 23/024 (2013.01); G01H 1/006 (2013.01); G05B 23/0221 (2013.01); G05B 23/0243 (2013.01); G05B 23/0267 (2013.01); G05B 23/0272 (2013.01); G05B 23/0283 (2013.01); G05B 2219/34465 (2013.01)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
WO 2022216522 A2 20221013; WO 2022216522 A3 20221222; CA 3216168 A1 20221013; EP 4320493 A2 20240214
DOCDB simple family (application)
US 2022022846 W 20220331; CA 3216168 A 20220331; EP 22723502 A 20220331