Gear damage factor detecting method and device and wind turbine generator system

Abstract

The embodiment of the invention provides a gear damage factor detecting method and device and a wind turbine generator system. The method comprises the steps that a collected gear signal is subjectedto designated axis time domain synchronous average TSA treatment, and a TSA waveform signal is obtained; an envelope line corresponding to the TSA waveform signal is obtained according to the TSA waveform signal; the envelope line is converted into a corresponding an order spectrum according to the set conversion rule; and a gear damage factor is detected according to the order spectrum. Accordingto the technical scheme of the embodiment, the gear damage factor can be determined according to a gear signal and designated axis information, the error of the obtained gear damage factor is decreased, and the accuracy of gear damage evaluation is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of mechanical non-destructive testing, and in particular to a method and device for detecting damage factors of gears, and a wind power generating set. Background technique [0002] Gears are an important part of mechanical equipment. The gears of large-scale mechanical equipment carry a large torque. Under the environment of continuous work for a long time, the teeth of the gears are prone to failure damage such as fatigue cracks, tooth surface wear, pitting and gluing. If timely and effective maintenance cannot be obtained, accidents such as broken teeth and fractures will occur, making the equipment unable to operate and causing heavy losses to production. [0003] The assessment of gear damage is usually achieved by the corresponding modes in the rotational period domain of the corresponding shaft. Generally speaking, after the teeth of a gear are damaged, impact vibration will occ...

AI Technical Summary

Problems solved by technology

[0004] However, using time-domain kurtosis analysis to identify gear damage means that the corresponding data of the peak value is repeated every time the gear shaft rotates. Among them, the factor affecting the peak value change is set to be the vibration response signal generated by the gear damage, but there are other factors in practice If the time-domain kurtosis coefficient is simply used as the gear damage factor, there will be errors, which will reduce the accuracy of gear damage assessment; while using the sidelobe energy analysis of the gear mesh frequency in the order domain to identify gear damage, Since the vibration response signal generated by gear damage is usually an impact reflection, and the shaft speed is consistent in the repetition period domain, any response changes related to the shaft speed cycle in the order domain of the shaft will be reflected in the side lobe energy. The analysis results obtained from the sidelobe energy analysis of the gear meshing frequency in the order domain also have errors as the gear damage factor, which reduces the accuracy of gear damage assessment

[0005] In the process of realizing the present invention, the inventors found that by using the time-domain kurtosis analysis of the waveform signal, or by using the sidelobe energy analysis of the gear meshing frequency in the order domain of the waveform signal, according to the analysis As a result, there are errors in the gear damage factors obtained, resulting in low accuracy of gear damage assessment

Images