Gear fault detection method on the basis of multi-position turning angle signals of encoders

Abstract

The present invention provides a gear fault detection method on the basis of multi-position turning angle signals of encoders. The gear fault detection method on the basis of multi-position turning angle signals of encoders comprises the following steps: axial angle encoders are installed at the power input end and the power output end of a gear case; turning angle signals of the axial angle encoders are collected by the encoders at the input shaft end and the output shaft of the gear case; the turning angle signals are processed and reference points of square wave periods in the signals are searched, the period timing length of each square wave in the signals are counted, the period fluctuation time series are reconstructed according to the number of periods of each square wave, and frequency spectrums of the period variation time series signals; and finally, characteristic frequency components of fault gears are calculated according to the rotating speed of the input shaft and the design structure of the gear case, and when fault characteristic components and high order harmonic components thereof are existed in the frequency spectrum, it is determined that flex cracking or an abnormal failure of the gear case happens. The gear fault detection method on the basis of multi-position turning angle signals of encoders has high recognition rate of operation failures of a gear, and contributes to rapidly and accurately determining the operating state of a gear case.

Description

technical field [0001] The invention belongs to the technical field of mechanical equipment state detection and monitoring, and in particular relates to a method for detecting gear operation faults in a transmission system by using multi-bit rotation angle signals of an encoder. Background technique [0002] As one of the most common and important components in mechanical equipment, the gearbox system's operating status will play a decisive role in the performance of the entire equipment. The identification of the operating state of the gearbox system is the basis for ensuring the safe operation of mechanical equipment, and it is extremely important in wind turbines, high-speed vehicles, and large mining machinery. Finding the early failure of the gearbox system can effectively improve the operation ability of mechanical equipment. Among the currently commonly used detection and diagnosis methods, the gearbox system fault characteristic method based on vibration signal anal...

AI Technical Summary

Problems solved by technology

[0003] The existing methods based on vibration information acquisition and analysis have the following deficiencies: the signal-to-noise ratio of vibration signals is low, and the recognition rate of faults is low; the amount of information about the running axis contained in vibration signals is small, and sensors need to be installed on site; In the vibration spectrum of the system, there are often both amplitude modulation and frequency modulation components, and the frequency components are complex, which limits diagnostic analysis

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