Wind turbine blade fault monitoring method
A fault monitoring and wind turbine technology, which is applied in the testing of mechanical components, radio wave measurement systems, and testing of machine/structural components, etc. It can solve the problem of inability to accurately obtain the running status of wind turbine blades in real time, and reduce losses. Effect
Active Publication Date: 2021-04-09
CHINA THREE GORGES UNIV
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Problems solved by technology
[0004] In view of the technical problems existing in the background technology, the wind turbine blade fault monitoring method provided by the present invention solves the technical problem that the wind turbine cannot accurately obtain the operating status of the wind turbine blade in real time during operation
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[0032] The preferred solution is as Figure 1 to Figure 7 As shown in Fig. 1, a wind turbine fault monitoring method is used to judge the operating status of the wind turbine blades based on the Doppler characteristics of the blade echo signals when the wind turbine is running. Include the following steps:
[0033] Step 1: Establish a wind turbine blade model based on the actual monitored wind turbine blade;
[0034] A wind turbine blade failure monitoring method proposed by the present invention needs to obtain the micro-Doppler characteristics of the radar echo of the monitored wind turbine in normal operation, so it is necessary to establish a wind turbine model according to the actual monitored wind turbine to obtain the wind turbine Micro-Doppler signature of the blade in normal operating condition.
[0035] Step 2: Determine the number of sampling points for solving the backscattering electric field of wind turbine blades according to the "Nyquist sampling theorem".
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A wind turbine blade fault monitoring method comprises the following steps: establishing a wind turbine blade model according to an actual detected wind turbine blade; determining the number of sampling points for solving the backward scattering electric field of the wind turbine blade; solving a back scattering electric field of the wind turbine blade; obtaining a radar echo signal of the wind turbine blade according to the back scattering electric field of the wind turbine blade; performing short-time Fourier transform according to the wind turbine blade radar echo signal to obtain a time-frequency diagram of the wind turbine blade radar echo signal; monitoring actually running wind turbine blades in real time by using radar, and obtaining radar echoes of the monitored wind turbine blades; performing short-time Fourier transform on the obtained radar echo signal of the monitored wind turbine blade to obtain a time-frequency diagram of the radar echo signal of the monitored wind turbine blade; and comparing the obtained time-frequency graphs of the radar echo signals of the wind turbine to judge whether the blades of the wind turbine fail or not. The technical problem that the running state of the wind turbine blade cannot be accurately obtained in real time in the running process of the wind turbine is solved.
Description
technical field [0001] The invention belongs to the technical field of fault monitoring of wind turbine blades, and in particular relates to a fault monitoring method of wind turbine blades. Background technique [0002] With the launch of the National Energy Internet Project with the goal of "UVG grid as the backbone grid, clean energy transmission as the leading, and global interconnected ubiquitous strong smart grid", as the basis of my country's energy strategy, it is also a clean and renewable energy source. The development and utilization of wind power energy has received more and more attention from the country. A large number of large and medium-sized wind farm projects that have been completed or are under planning and construction have successively appeared in areas rich in wind energy resources in various parts of my country. In 2017, the number of wind power put into operation reached 15.03 million kW, and the cumulative grid-connected installed capacity reached 1...
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IPC IPC(8): G01M13/00G01S13/88
CPCG01M13/00G01S13/88G01S13/886
Inventor 黄力代朝阳刘钢刘鹏谢黄海石青松廖梓榕
Owner CHINA THREE GORGES UNIV