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Fan blade icing state detection method and device and readable storage medium

A technology for state detection and fan blades, applied in forecasting, computer components, instruments, etc., can solve the problem of low accuracy in detecting the icing state of fan blades, and achieve the effect of improving accuracy

Pending Publication Date: 2021-04-09
WUHAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, it is necessary to provide a method, device, and computer-readable storage medium for detecting the icing state of fan blades to solve the problem of low accuracy in detecting the icing state of fan blades in the prior art

Method used

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  • Fan blade icing state detection method and device and readable storage medium
  • Fan blade icing state detection method and device and readable storage medium
  • Fan blade icing state detection method and device and readable storage medium

Examples

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Embodiment 1

[0028] An embodiment of the present invention provides a method for detecting the icing state of fan blades, the schematic flow chart of which is as follows figure 1 As shown, the method includes the following steps:

[0029] S1. Obtain the SCADA data of the actual operation of the wind power plant, obtain a feature data set, perform normalization processing on the data set, and obtain a normalized data set;

[0030] S2. Constructing an extended deep belief network model, using the normalized data set to train the extended deep belief network model, and using cost-sensitive learning to optimize the extended deep belief network model to obtain a method for icing detection The extended deep belief network model of ;

[0031] S3. Collect the SCADA data that needs to be detected, and input the SCADA data that needs to be detected into the extended deep belief network model for icing detection, and obtain the icing state detection result.

[0032] In a specific embodiment, the SC...

Embodiment 2

[0078] An embodiment of the present invention provides a device for detecting the icing state of fan blades, which includes a processor and a memory, and a computer program is stored in the memory. When the computer program is executed by the processor, the method described in Embodiment 1 is realized. A method for detecting the icing state of fan blades.

Embodiment 3

[0080] An embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for detecting the icing state of a fan blade as described in Embodiment 1 is implemented.

[0081] The invention discloses a method, a device and a computer-readable storage medium for detecting the icing state of fan blades. By acquiring SCADA data actually operated by a wind power plant, a feature data set is obtained, and the data set is normalized to obtain Normalized data set; constructing an extended deep belief network model, using the normalized data set to train the extended deep belief network model, and utilizing cost-sensitive learning to optimize the extended deep belief network model, Obtain an extended depth belief network model for icing detection; collect SCADA data that needs to be detected, and input the SCADA data that needs to be detected into the extended depth bel...

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Abstract

The invention relates to a fan blade icing state detection method and device and a computer readable storage medium, and the method comprises the following steps: obtaining SCADA data of actual operation of a wind power plant, obtaining a feature data set, carrying out the normalization processing of the data set, and obtaining a normalized data set; constructing an extended deep belief network model, training the extended deep belief network model by using the normalized data set, and optimizing the extended deep belief network model by using cost-sensitive learning to obtain an extended deep belief network model for icing detection; and collecting SCADA data to be detected, and inputting the SCADA data to be detected into the extended depth belief network model for icing detection to obtain an icing state detection result. According to the fan blade icing state detection method, the accuracy of fan blade icing state detection is improved.

Description

technical field [0001] The present invention relates to the technical field of fan blades, in particular to a method, device and computer-readable storage medium for detecting the icing state of fan blades. Background technique [0002] Wind energy, as a clean and renewable energy, has attracted more and more attention from all over the world. In this case, wind turbines are widely used; related studies have shown that once the fan blades freeze, it will affect the natural modal parameters of the fan blades, Changing the airfoil of the wind turbine blades will reduce the operation stability and power generation efficiency of the wind turbine, and the ice layer will easily cause casualties after falling. Therefore, early detection of blade icing can effectively improve the operation stability and power generation efficiency of wind turbines. The original data related information of the existing detection scheme for the icing state of fan blades is easy to be lost, resulting ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06K9/62
CPCG06Q10/04G06Q50/06G06F18/214G06F18/241
Inventor 计三有于振华
Owner WUHAN UNIV OF TECH
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