The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 26, 2023
Filed:
Mar. 07, 2017
Siemens Energy Global Gmbh & Co. KG, Munich, DE;
Bernt Andrassy, Munich, DE;
Mark Buckley, Munich, DE;
Felix Buggenthin, Munich, DE;
Giuseppe Fabio Ceschini, Florence, IT;
Thomas Hubauer, Garching bei München, DE;
Denis Krompaß, Munich, DE;
Mikhail Roshchin, Munich, DE;
Sigurd Spieckermann, Neukeferloh, DE;
Michael Werner, Marloffstein, DE;
Richard Arnatt, Lincoln, GB;
Almir Avdovic, Norrkoping, SE;
Zlatan Cota, Finspång, SE;
Davood Naderi, Svärtinge, SE;
Abstract
A method and an apparatus for optimizing diagnostics of rotating equipment is provided. The apparatus includes a device for providing status information about status of the rotating equipment over a series of time windows whereby status can be derived from sensor features of at least one available sensor taking measurements during a predefinable time period, a device for using deep learning which combines provided historic sensor information with sequence of events data indicating warnings and/or alerts of the rotating equipment, whereby status information is supplemented with via deep learning predicted probabilities whether a warning and/or an alert has occurred within a time window, device for providing an amount of textual diagnostic knowledge cases, device for extracting semantic information on text features from the textual diagnostic knowledge cases, and device for combining status information and semantic information into a unified representation enabling optimization of the diagnostics.