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US 12,760,712 B2Granted
Load sensor calibration method and apparatus, and computer-readable storage medium
AssigneeGoldwind Science & Technology Co., Ltd.
InventorsDa Xue, Wenlei Zhang, Lei Liu
Life of this patent
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Abstract
A load sensor calibration method and apparatus, and a computer-readable storage medium are provided. The load sensor calibration method includes: acquiring operation data of a wind turbine generator set, wherein the operation data comprises data of the wind turbine generator set operating in a normal operating state or data of the wind turbine generator set operating under different predetermined pitch angle idling states; generating a calibration training set on the basis of the operation data; and calibrating a load sensor according to the calibration training set.
Claims18
A method for calibrating a load sensor, comprising:
- measuring, by one or more controllers, a set of operation parameters associated with a wind turbine of a generator set to obtain operation data of the wind turbine, wherein the operation data comprises data of the wind turbine operating in a normal state;
- generating, by the one or more controllers, a training set for calibration based on the operation data;
- calibrating, by the one or more controllers, the load sensor based on the training set for calibration to obtain an updated sensor parameter;
- distributing, by the one or more controllers, the updated sensor parameter to a main controller of the wind turbine of the generator set through wired or wireless data transmission;
- and
- applying, by the main controller of the wind turbine, the updated sensor parameter to control or protect the generator set,
- wherein generating the training set for calibration comprises:
- filtering the operation data based on a preset filtering condition to obtain a first dataset;
- dividing, based on a pitch angle for each piece of the operation data in the first dataset, the first dataset into a first set for pitch angles at idle and a second set for pitch angles not at idle, wherein the second set comprises one or more pieces of the operation data in the first dataset not having a pitch angle at idle;
- performing random sampling on a first subset of the operation data in the first set and a second subset of the operation data in the second set, respectively, to obtain data points, wherein each of the data points comprises a piece of the operation data corresponding to an azimuth angle at a time instant such that the data points are associated with corresponding azimuth angles;
- and
- generating the training set for calibration based on the corresponding azimuth angles associated with the data points.
9 more elements
A device for calibrating a load sensor, comprising:
- a memory storing instructions, and
- a processor, wherein the processor, when executing the instructions, is configured to:
- measure a set of operation parameters associated with a wind turbine of a generator set to obtain operation data of the wind turbine, wherein the operation data comprises data of the wind turbine operating in a normal state;
- generate, based on the operation data, a training set for calibration;
- calibrate the load sensor based on the training set for calibration to obtain an updated sensor parameter;
- and
- distribute the updated sensor parameter to a main controller of the wind turbine of the generator set through wired or wireless data transmission,
- wherein the main controller of the wind turbine applies the updated sensor parameter to control or protect the generator set, and
- wherein to generate the training set for calibration, the processor is further configured to:
- filter the operation data based on a preset filtering condition to obtain a first dataset;
- divide, based on a pitch angle for each piece of the operation data in the first dataset, the first dataset into a first set for pitch angles at idle and a second set for pitch angles not at idle, wherein the second set comprises one or more pieces of the operation data in the first dataset not having a pitch angle at idle;
- perform random sampling on a first subset of the operation data in the first set and a second subset of the operation data in the second set, respectively, to obtain data points, wherein each of the data points comprises a piece of the operation data corresponding to an azimuth angle at a time instant such that the data points are associated with corresponding azimuth angles;
- and
- generate the training set for calibration based on the corresponding azimuth angles associated with the data points.
11 more elements
A non-transitory computer-readable storage medium storing instructions, wherein the instructions, when executed by at least one computing device, cause the computing device to perform a method comprising:
- measuring a set of operation parameters associated with a wind turbine of a generator set to obtain operation data of the wind turbine, wherein the operation data comprises data of the wind turbine operating in a normal state;
- generating, based on the operation data, a training set for calibration;
- calibrating the load sensor based on the training set for calibration to obtain an updated sensor parameter;
- and
- distributing, by the one or more controllers, the updated sensor parameter to a main controller of the wind turbine of the generator set through wired or wireless data transmission,
- wherein the main controller of the wind turbine applies the updated sensor parameter to control or protect the generator set, and
- wherein generating the training set for calibration comprises:
- filtering the operation data based on a preset filtering condition to obtain a first dataset;
- dividing, based on a pitch angle for each piece of the operation data in the first dataset, the first dataset into a first set for pitch angles at idle and a second set for pitch angles not at idle, wherein the second set comprises one or more pieces of the operation data in the first dataset not having a pitch angle at idle;
- performing random sampling on a first subset of the operation data in the first set and a second subset of the operation data in the second set, respectively, to obtain data points, wherein each of the data points comprises a piece of the operation data corresponding to an azimuth angle at a time instant such that the data points are associated with corresponding azimuth angles;
- and
- generating the training set for calibration based on the corresponding azimuth angles associated with the data points.
9 more elements
Dependencies are inferred from the claim text.