Abstract: The gas turbine with a plurality of combustors for igniting gas and method includes receiving first temperature measurements for a first plurality of probing points, each associated with one of the plurality of combustors. The method includes receiving second temperature measurements for a second plurality of probing points, each located downstream of the plurality of combustors. The method includes determining an association between the first plurality of probing points and the second plurality of probing points. The determining includes using the first and second temperature measurements and position information for the first and second plurality of probing points to determine swirl characteristics for the gas turbine. The swirl characteristics representing the angular shift between the ignited gas at the plurality of combustors and the ignited gas at the second plurality of probing points.

Abstract: A method of detecting a bearing carbonization failure in a turbine system, the turbine system has a bearing, a turbine rotational speed sensor, and a bearing displacement acceleration sensor. The method includes obtaining individual measurement values from each of the turbine rotational speed sensor and the bearing displacement acceleration sensor, determining, as a first condition, whether the measurement values from the rotational speed sensor exceed or equal a first threshold value during a first period of time, calculating a characteristic value based on the measurement values from the bearing displacement acceleration sensor corresponding to a second period of time, the second period of time being part of the first period of time, determining, as a second condition, whether the calculated characteristic value exceeds a second threshold value, and determining that a bearing carbonization failure has occurred if both the first condition and the second condition are fulfilled.

Abstract: 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.

Abstract: The computer device (10) comprises a receiving unit (1) for receiving numerical data (11) and logical data (12) from the technical system (100), a selection unit (2) for selecting a subset (13) of the numerical data (11), a processing unit (3) for processing the subset of the numerical data (11) and the logical data (12) by converting the subset of the numerical data (11) and the logical data (12) into text-based data and by detecting predefined events in the text-based data, a comparison unit (4) 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 (5) for outputting a signal (13) 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.

Abstract: A method of detecting a bearing carbonization failure in a turbine system, the turbine system has a bearing, a turbine rotational speed sensor, and a bearing displacement acceleration sensor. The method includes obtaining individual measurement values from each of the turbine rotational speed sensor and the bearing displacement acceleration sensor, determining, as a first condition, whether the measurement values from the rotational speed sensor exceed or equal a first threshold value during a first period of time, calculating a characteristic value based on the measurement values from the bearing displacement acceleration sensor corresponding to a second period of time, the second period of time being part of the first period of time, determining, as a second condition, whether the calculated characteristic value exceeds a second threshold value, and determining that a bearing carbonization failure has occurred if both the first condition and the second condition are fulfilled.

Abstract: 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.

Abstract: The computer device (10) comprises a receiving unit (1) for receiving numerical data (11) and logical data (12) from the technical system (100), a selection unit (2) for selecting a subset (13) of the numerical data (11), a processing unit (3) for processing the subset of the numerical data (11) and the logical data (12) by converting the subset of the numerical data (11) and the logical data (12) into text-based data and by detecting predefined events in the text-based data, a comparison unit (4) 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 (5) for outputting a signal (13) 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.