Method and apparatus for optimizing diagnostics of rotating equipment

US11853051B2 · kind B2 · utility

Assignee

• Siemens Energy Global GmbH & Co. KG · DE

Inventors

• Bernt Andrassy · Munich, DE
• Mark Buckley · Munich, DE
• Felix Buggenthin · Munich, DE
• Giuseppe Fabio Ceschini · Firenze, IT
• Thomas Hubauer · Garching bei München, DE
• Denis Krompaß · Munich, DE
• Mikhail Roshchin · Straubing, DE
• Sigurd Spieckermann · Neukeferloh, DE
• Michael Werner · Marloffstein, DE
• Richard Arnatt · Lincoln, GB
• Almir Avdovic · Norrköping, SE
• Zlatan Cota · Finspång, SE
• Davood Naderi · Svärtinge, SE

Key dates

• Filing date: Mar 7, 2017
• Grant date: Dec 26, 2023
• Expiry date: Aug 13, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/33284
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.