Unlock instant, AI-driven research and patent intelligence for your innovation.

Data-driven fan blade icing prediction method and device

A fan blade, data-driven technology, applied in forecasting, engines, wind turbines, etc., can solve the problems of complex mechanism modeling, poor generalization ability and actual forecasting effect, etc., and achieve the effect of improving the AUC value.

Pending Publication Date: 2022-04-12
NANJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art, and provide a data-driven fan blade icing prediction method and device to solve the problems of complex modeling of the existing mechanism, poor generalization ability and actual prediction effect, and can Improving the Accuracy of Icing Prediction Using Hidden Information Between Time Series Data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data-driven fan blade icing prediction method and device
  • Data-driven fan blade icing prediction method and device
  • Data-driven fan blade icing prediction method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] This embodiment introduces a data-driven fan blade icing prediction method and device, including:

[0079] Obtain the SCADA data collected in advance by the fan, eliminate outliers, fill in missing values, and complete the preprocessing of the data set;

[0080] According to the preprocessed SCADA data set, a method of combining down-sampling based on data distribution similarity analysis and data adaptive comprehensive over-sampling is used to balance the distribution of wind turbine blade icing and non-icing data in the SCADA data set ;

[0081] According to the SCADA data set after the balanced distribution, the importance assessment of the high-dimensional feature data is carried out through the random forest algorithm, and the feature data is obtained after screening and reconstruction;

[0082] The feature data after the screening and reconstruction are trained using the hidden layer of the long short-term memory network, and the feature vector after the output t...

Embodiment 2

[0145] This embodiment provides a data-driven fan blade icing prediction device, including:

[0146] The preprocessing unit is used to obtain the SCADA data collected in advance by the fan, eliminate abnormal values, fill in missing values, and complete the preprocessing of the data set;

[0147] The processing unit is used to balance the icing and non-icing of wind turbine blades in the SCADA data set based on the combination of down-sampling based on data distribution similarity analysis and data adaptive comprehensive over-sampling according to the pre-processed SCADA data set. Distribution of icing data;

[0148] The evaluation unit is used to evaluate the importance of high-dimensional feature data through the random forest algorithm according to the SCADA data set after the balanced distribution, and obtain the feature data after screening and reconstruction;

[0149] The training unit is used to train the feature data after the screening and reconstruction using the hi...

Embodiment 3

[0154] This embodiment provides a data-driven fan blade icing prediction device, including a processor and a storage medium;

[0155] The storage medium is used to store instructions;

[0156] The processor is configured to operate according to the instructions to execute the steps of the method according to any one of Embodiment 1.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a data-driven fan blade icing prediction method and device, and the method comprises the steps: obtaining SCADA data collected by a fan in advance, and completing the preprocessing of a data set; balancing the distribution of icing and non-icing data of the blades of the wind turbine in the SCADA data set; according to the SCADA data set after balanced distribution, obtaining feature data after screening and reconstruction; taking the feature vectors as input of an attention mechanism layer to obtain weight vector values of the corresponding feature vectors; combining the feature vector and the weight vector value into a new vector to obtain a fan blade icing prediction model; the feature data needing to be predicted are input into the prediction model of fan blade icing to obtain a prediction result of fan blade icing, the problems that an existing mechanism is complex in modeling and poor in generalization ability and actual prediction effect are solved, and the accuracy of icing prediction can be improved through hidden information between time sequence data.

Description

technical field [0001] The invention relates to a data-driven fan blade icing prediction method and device, and belongs to the technical field of wind turbine fault diagnosis. Background technique [0002] Electric energy mainly comes from the combustion of fossil fuels. In recent years, with the reduction of this non-renewable energy and the environmental problems it brings, wind energy, as a clean and green energy, has been vigorously developed. The construction of wind farms is mainly concentrated in areas with high latitudes, high altitudes, and low temperatures, which can easily cause slow accumulation of ice on the blades of wind turbines. This icing phenomenon has a great impact on the output and safety of the working wind turbine. On the one hand, it will cause the output power loss of the wind turbine, and on the other hand, it will cause safety hazards such as mechanical failure and frost falling off. The current research on fan blade icing is divided into mechani...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62G06N3/04F03D80/40
CPCY02E10/72
Inventor 岳东刘良辰窦春霞张智俊
Owner NANJING UNIV OF POSTS & TELECOMM