Siemens Energy Global Gmbh & Co. Kg

Siemens Aktiengesellschaft

Nuovo Pignone Spa

Nuovo Pignone International S.r.l.

Giuseppe Fabio Ceschini

Mikhail Roshchin

Thomas Hubauer

Alexey Fishkin

Denis Krompaß

Felix Buggenthin

Bernt Andrassy

Federico Iozzelli

Mark Buckley

Sigurd Spieckermann

Stuart Watson

Davood Naderi

Mauro Venturini

Nicoló Gatta

Richard Arnatt

Michael Werner

Zlatan Cota

Almir Avdovic

Alin Murarasu

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

Provided is a method for providing measured values of a technical installation in which measured values in at least one measurement series are captured, wherein a respective measured value is provided by a measurement sensor for a respective physical measurement variable in the technical installation for a respective measurement time. The measured values are categorized as normal measured values or anomalous measured values with the aid of a threshold value comparison and at least one further method stage. The further method stage comprises calculating one or more statistical position parameters for selected measured values from the same measurement series and/or different measurement series. The method makes it possible to increase the reliability of the measured values provided. A technical system comprising the technical installation, at least one measurement sensor and a program-controlled device, and a method for operating the technical system are also proposed.

Method for providing measured values of a technical installation, technical system, and method for operating the technical system

A method and apparatus for analyzing an investigated complex system the complex system including a plurality of system components, the method includes the steps of providing a base virtual object oriented data model including abstract components corresponding to system components of the investigated complex system, wherein each abstract component of the base virtual object oriented data model includes parameters and attributes of the respective system component of the investigated complex system; mapping sensor tags of sensors deployed in the investigated complex system () and/or event names of events received from the investigated complex system to the parameters of the abstract components of the provided base virtual object oriented data model to generate a dedicated data model for the system type of the investigated complex system; and performing a failure mode and/or a root-cause analysis of the investigated complex system on the basis of the dedicated data model.

Method and apparatus for analyzing an investigated complex system

Methods and apparatuses for detecting corrosion in one or more blades of a gas turbine system includes a detection head having a shape that conforms to a surface geometry of a filet section of a gas turbine blade, whereby the detection head is operable to move along the axial length of the filet section for detecting corrosion pitting. At least one coil device located within the detection head induces a first magnetic field within an area of the filet in contact with the detection head. A receiver device is adapted to detect a signal corresponding to a second magnetic field received from the area of the filet exposed to the first magnetic field, where the second magnetic field is generated by induced currents in the area by the first magnetic field. A signal processing device then processes the detected signal for correlating a corresponding amplitude of the detected signal with the presence of corrosion pitting in the area such that the presence of corrosion pitting is determined without any casing disassembly of the gas turbine system.

System and method for detecting corrosion pitting in gas turbines

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Florence, Italy

Giuseppe Fabio Ceschini