Siemens Energy Global Gmbh & Co. Kg

Siemens Aktiengesellschaft

Davood Naderi

Thomas Hubauer

Mikhail Roshchin

Denis Krompaß

Felix Buggenthin

Bernt Andrassy

Giuseppe Fabio Ceschini

Mark Buckley

Sigurd Spieckermann

Richard Arnatt

Michael Werner

Zlatan Cota

Almir Avdovic

Erik Aerlebaeck

John Ayotte

Regine Meunier

A method and a calculation unit for calculating a load skewness result for a determination of service intervals for a turbine, includes: receiving a continuously measured load signal over time, indicating a load of the turbine during operation thereof; determining a load percentage signal over time as a deviation of the received measured load signal from a maximum capacity signal, wherein the maximum capacity signal represents a maximal possible load to be generated at a given time and is calculated from continuously measured sensor signals, representing operating parameters of turbine operation; calculating a load percentage distribution based on the determined load percentage signal; calculating a load skewness factor as a measure of an asymmetry of the calculated load percentage distribution; providing the load skewness result, including the calculated load percentage distribution and the calculated load skewness factor.

Sensor-based calculation of service intervals for gas turbines

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.

Method and apparatus for optimizing diagnostics of rotating equipment

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Svärtinge, Sweden

Davood Naderi