Siemens Aktiengesellschaft

Siemens Energy Global Gmbh & Co. Kg

Adam Marsden

Mikhail Roshchin

Alexey Fishkin

Anthony Latimer

A method of detecting a temperature sensor failure in a turbine system, includes obtaining individual measurement values from each temperature sensor in a group of temperature sensors, calculating a characteristic value for each temperature sensor in the group based on the measurement values for the corresponding temperature sensor, selecting a first characteristic value among the calculated characteristic values, determining a first maximum value as the maximum of the characteristic values except for the first characteristic value, and determining that the temperature sensor corresponding to the first characteristic value is defective if the first characteristic value is larger than the first maximum value multiplied by a predetermined factor. A corresponding device, system, computer program and computer program product utilize the method.

Detection of temperature sensor failure in turbine systems

The computer device () comprises a receiving unit () for receiving numerical data () and logical data () from the technical system (), a selection unit () for selecting a subset () of the numerical data (), a processing unit () for processing the subset of the numerical data () and the logical data () by converting the subset of the numerical data () and the logical data () into text-based data and by detecting predefined events in the text-based data, a comparison unit () for comparing the detected events with predefined queries, wherein the predefined queries describe correlations between detected events, to provide a comparison result, and a signaling unit () for outputting a signal () based on the provided comparison result. By converting numerical data and logical data into text-based data, correlations within the data can be easily detected based on predefined queries, which are also in text-based form. Further, a technical system comprising such a computer device and a corresponding method are provided.

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Lincoln, United Kingdom

Adam Marsden