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Diagnosis method for initial failure of gearbox of wind generating set based on vibration monitoring

A technology of wind power generators and diagnostic methods, which is applied in the direction of machine gear/transmission mechanism testing, measuring devices, electrical digital data processing, etc., can solve the problems of early fault diagnosis methods that are not timely and accurate, and reduce downtime and replace parts. Time and cost, the effect of improving the signal-to-noise ratio

Inactive Publication Date: 2015-03-04
ZHONGSHAN FLASHLIGHT POLYTECHNIC
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Problems solved by technology

[0007] The present invention aims at the shortcoming that the current early fault diagnosis method of the gearbox of the wind power generating set is not timely and accurate enough, and performs vibration monitoring on the gearbox of the wind generating set, and proposes a method for early fault diagnosis of the gearbox of the wind power generating set. The method includes the following steps:

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  • Diagnosis method for initial failure of gearbox of wind generating set based on vibration monitoring
  • Diagnosis method for initial failure of gearbox of wind generating set based on vibration monitoring
  • Diagnosis method for initial failure of gearbox of wind generating set based on vibration monitoring

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Embodiment Construction

[0029] Firstly, the specific implementation steps of the present invention are described in detail by analyzing the vibration data collected from the test bench, and then the vibration data collected from the actual wind farm test prototype are analyzed to further verify the effectiveness and application value of the fault diagnosis method proposed by the present invention .

[0030] The test data used in this patent all come from the rolling bearing failure simulation test bench of the Electrical Engineering Laboratory of Case Western Reserve University in the United States. The test bench includes a 2-horsepower electric motor, a torque sensor and a power tester. The bearings to be tested are located at both ends of the motor. The drive end bearing model is SKF6205, and the fan end bearing model is SKF6203. The bearing fault points are machined by EDM, and the diameters of the damage points are 0.1778mm, 0.3556mm, and 0.5334mm respectively. Among them, the damage points of t...

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Abstract

The invention provides a diagnosis method for an initial failure of a gearbox of a wind generating set based on vibration monitoring. The method comprises the following steps: firstly, collecting an original vibrating acceleration signal of each monitoring point of the gearbox of the wind generating set; adopting an LMD (Local mean decomposition) method for decomposing the original vibrating acceleration signal into a plurality of PF (Product function) components with certain physical significances; selecting the PF components containing failure information, such as amplitude modulation and frequency modulation, for reconstructing a signal; performing Hilbert conversion on the reconstructed signal and further extracting fault characteristic quantity; lastly, judging the fault type and the fault degree by calculating a KL-divergence value between a to-be-tested sample and a standard sample.

Description

technical field [0001] The invention relates to the field of wind power generation, in particular to a method for early fault diagnosis of rotating machinery based on vibration monitoring, in particular to a method for early fault diagnosis based on vibration monitoring and applied to a gearbox of a wind power generating set. Background technique [0002] As a renewable and non-polluting new green energy, wind energy has been widely regarded as a new energy utilization method with great development and utilization prospects at home and abroad. In the current situation of increasingly severe energy shortage in the world, vigorously developing wind power technology is an effective way and one of the inevitable trends to solve the problems of energy shortage and environmental pollution. In 2013, in China (excluding Taiwan), the new installed capacity was 16088.7MW, a year-on-year increase of 24.1%; the cumulative installed capacity was 91412.89MW, a year-on-year increase of 21....

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Application Information

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IPC IPC(8): G06F19/00G01H17/00G01M13/02
Inventor 郭艳平熊宇晏华成宋国翠张远海
Owner ZHONGSHAN FLASHLIGHT POLYTECHNIC
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