Determining the fluid density in an electrical device
AssigneeSiemens Energy Global GmbH & Co. KG
InventorsMatthias Heinecke, Mario Pilz
Life of this patent
Estimating the term…
Abstract
In a method for determining a fluid density of a fluid in an encapsulated electrical device a sensor unit is used to acquire measurement data. The fluid density is derived from the measurement values. Weather data relating to weather conditions in an environment of the electrical device are collected. Via machine learning, a digital model is generated for the influence of the weather conditions on a measurement deviation of a measurement value from the true fluid density. Using the digital model, a correction value is calculated for measurement values according to the weather data and a measurement value is corrected using the correction value.
Claims18
1-15. (canceled)
A method for determining a fluid density of a fluid in an encapsulated electrical device, the method comprising:
- acquiring measurement data by a sensor unit and deriving from the measurement data measurement values for the fluid density;
- collecting weather data relating to weather conditions in an environment of the electrical device;
- using machine learning to generate a digital model for an influence of the weather conditions on a measurement deviation of a measurement value from a true fluid density;
- using the digital model to calculate a correction value for the measurement values as a function of the weather data;
- and
- correcting a measurement value with the correction value.
An electrical device with encapsulated fluid, the electrical device comprising:
- a sensor unit for acquiring measurement data relating to a fluid density of the fluid;
- a control unit or a connection to a data cloud;
- a computer program residing in the control unit or in the data cloud, the computer program being configured to:
- derive measurement values from the measurement data acquired by the sensor unit;
- collect weather data relating to weather conditions in an environment of the electrical device;
- use machine learning to generate a digital model for an influence of the weather conditions on a measurement deviation of the measurement values from a true fluid density of the fluid;
- use the digital model to calculate correction values for the measurement values as a function of the weather data;
- and
- correct the measurement values with the correction values.
Dependencies are inferred from the claim text.