Device for determining an error probability value for a transformer component and a system having such a device

A system comprising:

• a power transformer;
• a display unit having a screen,
• a device for determining an error probability value for a transformer component, comprising:
• a signal input interface;
• a processor unit;
• and
• a storage unit,
• wherein the signal input interface is configured for direct or indirect coupling to a measurement system for the power transformer, the measurement system having multiple sensors that are each designed to record a physical and/or chemical property of the power transformer, the power transformer having multiple transformer components, and each sensor being coupled to at least one of the transformer components of the power transformer by way of a respective related direct or indirect connection, wherein the physical and/or chemical property of the power transformer recorded by the respective sensor is influenced by at least one of the transformer components,
• wherein the signal input interface is configured to receive a status signal of the measurement system, the status signal representing multiple, different status variables, each status variable being associated with at least one of the sensors, wherein each status variable is in a functional relationship with at least one of the transformer components, each status variable representing a status state of the property of the power transformer recorded by the at least one associated sensor as a normal state or as an abnormal state,
• wherein a dataset is stored by the storage unit, the dataset having a related first probability value for each status variable relating to a likelihood that the respective status variable represents an incorrect state, the dataset having a related second probability value for each transformer component relating to a likelihood that an error has occurred in the respective transformer component, the dataset having a related third probability value for each of the functional relationships from one of the transformer components to one of the status variables relating to a likelihood that an error causes an abnormal state of the respective status variable in the respective transformer components;
• and
• wherein the processor unit is configured to determine a related error probability value for each transformer component, relating to the likelihood that an error has occurred in the respective transformer component, on the basis of a Bayesian network, which represents a directional graph from the transformer components to the status variables based on the first, second and third probability values, and on the basis of the status states represented by the status variables, and
• wherein the device is designed to generate an output signal Q in such a way that the output signal Q represents at least the two or three highest error probability values and the related transformer components, and
• the signal output interface of the device being coupled to the display unit by a direct or indirect first signal connection in order to transmit the output signal to the display unit, and the display unit being configured to display a second image, indicating the transformer components and related error probability values, on the screen on the basis of the output signal.

A system, comprising:

• a power transformer comprising multiple transformer components;
• a measurement system for the power transformer, the measurement system comprising:
• multiple sensors that are each designed to record a physical and/or chemical property of the power transformer, and are each coupled to at least one of the transformer components of the power transformer by way of a respective related direct or indirect connection, the physical and/or chemical property of the power transformer configured to be recorded by the respective sensor being influenced by at least one of the transformer components;
• and
• a measurement device comprising:
• a signal input interface directly or indirectly coupled to the measurement system;
• a processor unit;
• and
• a storage unit,
• wherein the signal input interface is configured to receive a status signal of the measurement system, the status signal representing multiple, different status variables, each status variable being associated with at least one of the sensors,
• wherein each status variable is in a functional relationship with at least one of the transformer components, each status variable representing a status state of the property of the power transformer recorded by the at least one associated sensor as a normal state or as an abnormal state;
• wherein a dataset is stored by the storage unit, the dataset having a related first probability value for each status variable relating to a likelihood that the respective status variable represents an incorrect state, the dataset having a related second probability value for each transformer component relating to a likelihood that an error has occurred in the respective transformer component, the dataset having a related third probability value for each of the functional relationships from one of the transformer components to one of the status variables relating to a likelihood that an error causes an abnormal state of the respective status variable in the respective transformer component, and
• wherein the processor unit is configured to determine a related error probability value for each transformer component, relating to the likelihood that an error has occurred in the respective transformer component, on the basis of a Bayesian network, which represents a directional graph from the transformer components to the status variables based on the first, second and third probability values, and on the basis of the status states represented by the status variables.