Fault diagnosis method for gear case of wind turbine generator system

Abstract

The invention provides a fault diagnosis method for a gear case of a wind turbine generator system. According to the fault diagnosis method based on LMD (local mean decomposition) and an optimized K mean value clustering algorithm, important factors such as non-stable characteristics, fault degree recognition and fault position diagnosis of vibration signals of the gear case of the wind turbine generator system are considered. The method includes collecting original vibration acceleration signals of measurement points of the gear case of the wind turbine generator system, decomposing the original vibration acceleration signals according to an LMD method into a plurality of PF (product function) components, selecting the PF components according to a principle that correlation coefficients are biggest to perform signal reconstruction, performing Hilbert envelope spectrum analysis on reconstructed signals to further extract fault characteristic quantity, and finally, classifying fault positions and fault degrees by the optimized K mean value clustering algorithm.

Description

technical field [0001] The invention belongs to the technical field of wind power, and in particular relates to a fault diagnosis method for a gearbox of a wind power generating set. The fault diagnosis method is based on LMD and an optimized K-means clustering algorithm. 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 21.4%. Both new installed capacity and cumulative install...

AI Technical Summary

Problems solved by technology

The direct drive model does not have a gearbox, which avoids the high failure rate and the reduction of maintenance costs due to the gearbox, but the direct drive model also has its inevitable disadvantages: the rare earth resources required by the permanent magnet generator type The large motor weight of the direct drive unit makes transportation and assembly very difficult. ENERCON’s 6WM model in Hamburg took as long as 3 months to hoist

Since wind turbines are mostly located in the field, they have to withstand various factors such as severe weather, impact loads caused by erratic wind speed and direction, and changing working conditions. The collected vibration signals contain a lot of background noise. Therefore, conventional rotating machinery fault monitoring The application effect of the method on the wind turbine is not ideal

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