Planetary gear case fault diagnosis method based on order complexity

Abstract

The invention belongs to the technical field of rotation machinery fault diagnosis, especially relates to a planetary gear case fault diagnosis method based on order complexity, and is specially applied to a fault diagnosis method of a wind power planetary gear case under a variable working condition. The method comprises the following steps: preprocessing vibration signals; dividing faults of a planetary gear train into two kinds; obtaining a fault feature parameter; analyzing the vibration signals under a variable working condition of a planetary gear case; and performing instance verification discovery. According to the invention, the influence of the variable working condition can be avoided by use of an order analysis method, and the Lempel-Ziv complexity of angle-domain signals after order analysis processing is more stationary than that of time-domain signals. According to the Lempel-Ziv complexity of the vibration angle-domain signals of the planetary gear case, local faults and distribution faults of planetary gears can be identified, through simulation and analysis of actual cases, the effectiveness of the method is verified, and at the same time, under the condition of lack of fault data, the complexity can also be taken as the feature parameter for determining whether there is a fault or not.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of rotating machinery, and in particular relates to a fault diagnosis method of a planetary gearbox based on order complexity, which is especially suitable for a fault diagnosis method of a wind power planetary gearbox under variable working conditions. Background technique [0002] Planetary gearboxes have the characteristics of large transmission ratio, strong load capacity and high transmission efficiency, and are widely used in large and complex mechanical equipment such as wind power generation and helicopters. The harsh working environment often leads to the failure of key components in the gearbox. Preliminary results have been achieved in fault diagnosis research on fixed-axis gearboxes, but planetary gearboxes are different from traditional gearboxes with fixed central shaft rotation. The gear motion in planetary gearboxes is a typical compound motion, and its vibration response i...

AI Technical Summary

Problems solved by technology

Preliminary results have been achieved in fault diagnosis research on fixed-axis gearboxes, but planetary gearboxes are different from traditional gearboxes with fixed central shaft rotation. The gear motion in planetary gearboxes is a typical compound motion, and its vibration response is higher than traditional The gearbox is more complex, and the diagnosis and identification of faults are more difficult than traditional gearboxes. It is difficult to directly apply the traditional gearbox fault diagnosis method to the fault diagnosis of planetary gearboxes.

[0003] The fault diagnosis of the gearbox mainly analyzes the vibration signal. The vibration signal can well describe the fault information of the gear vibration. However, since the gearbox is in a variable working condition, there are certain errors in the direct analysis of the vibration signal.

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