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Vibration signal analysis method for main bearing of wind power transmission system based on improved HHT and fuzzy entropy

A vibration signal, transmission system technology, applied in mechanical bearing testing, mechanical component testing, machine/structural component testing, etc., can solve problems such as damage to the economic benefits of wind farms, impact on power generation, and increase in wind farm maintenance costs.

Inactive Publication Date: 2018-08-24
SOUTHEAST UNIV
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  • Application Information

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Problems solved by technology

The occurrence of wind turbine failure not only seriously affects the power generation, but also greatly increases the maintenance cost of the wind farm and seriously damages the economic benefits of the wind farm.

Method used

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  • Vibration signal analysis method for main bearing of wind power transmission system based on improved HHT and fuzzy entropy
  • Vibration signal analysis method for main bearing of wind power transmission system based on improved HHT and fuzzy entropy
  • Vibration signal analysis method for main bearing of wind power transmission system based on improved HHT and fuzzy entropy

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Embodiment 1

[0032] In this embodiment, the wind power transmission test bench is used to simulate the wind power transmission system for experiments, such as figure 2 As shown, the wind power transmission test bench includes a drive motor 1, a main shaft 2, a first torque speed sensor 3, a single-stage cylindrical gearbox 4, a single-stage planetary gearbox 5, a first rolling bearing 6, a first coupling 7, a first Two torque speed sensors 8 , a first rolling bearing 9 , a first coupling 10 and a load motor 11 . The driving motor simulates the torque input of the wind rotor. In order to simulate the time-varying characteristics of the speed of the wind rotor, a frequency converter is used to control the input power and the speed of the motor, and it is connected to the load motor after two-stage gear transmission.

[0033] Based on the improved HHT and fuzzy entropy, the main bearing vibration signal analysis method of wind power transmission system, such as figure 1 shown, including the...

Embodiment 2

[0064] The steps of collecting vibration signals and using the improved HHT method to screen the real IMF in the second embodiment are the same as those in the first embodiment, the difference is that after using the improved HHT method, the real eigenmode functions are obtained, and the real eigenmode functions of each order are solved. The fuzzy entropy value of the eigenmode function; compare the fuzzy entropy values, and extract the real eigenmode function with the smallest fuzzy entropy value as the most impactful eigenmode function component, and then the most impactful eigenmode function The eigenmode function component of the Hilbert spectrum is analyzed to obtain the marginal spectrum as the final analysis result.

[0065] Fuzzy entropy is a method of classifying sample features using fuzzy criteria, which has a good measurement effect in practice.

[0066] The definition of fuzzy entropy is as follows:

[0067] (1) Assuming that the pattern dimension of a given time...

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Abstract

The invention discloses a vibration signal analysis method for a main bearing of a wind power transmission system based on improved HHT and fuzzy entropy. The method comprises the steps of collectinga vibration signal, performing EMD decomposition on the vibration signal, screening a real IMF component by a relative entropy theory, and performing Hilbert spectrum analysis to obtain marginal spectrum through synthesis. According to the method, the fault characteristics of the main bearing of the wind power transmission system can be stably and effectively extracted, and the interference of thenoise to a characteristic frequency can be effectively filtered. A false eigenmode function component generated by empirical mode decomposition is eliminated with proposed improved Hilbert-Huang transform, the marginal spectrum synthesized by the real component is made, and the true frequency distribution of the signal is reflected. Combined with the fuzzy entropy theory, an eigenmode function which best reflects fault bearing characteristics is screened out.

Description

technical field [0001] The invention relates to a method for analyzing the vibration signal of a main bearing failure of a wind power transmission system, in particular to a method for analyzing the vibration signal of a main bearing of a wind power transmission system based on improved HHT and fuzzy entropy. Background technique [0002] Energy is the cornerstone of human survival and development. Under the current dual background of energy sustainable development and severe environmental problems, wind energy, as an inexhaustible and renewable clean energy, has been widely used in the world in the past ten years. has received great attention. At the same time, my country's wind power industry continues to develop rapidly, and has become the third major power source after thermal power and hydropower. [0003] With the rapid development of wind power, the problem of wind turbine operation failure has increasingly become the focus of attention. The wind turbines that have ...

Claims

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Application Information

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IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 邓艾东刘东瀛李晶朱静翟怡萌龙磊
Owner SOUTHEAST UNIV
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