Fault diagnosis method for rocking arm gear of coal cutter

Abstract

The invention relates to a fault diagnosis method for a rocking arm gear of a coal cutter. Multi-class fault feature information of rocking arm vibration signals and a fault classification method are utilized to achieve fault diagnosis of a rocking arm gear. Firstly, vibration signals at different measurement points are obtained by an acceleration sensor, the vibration signals are decomposed using wavelet packet transformation, then the time domain vibration signal of each part is obtained after wavelet packet decomposition, the energy coefficient, the gradient coefficient and the skewness coefficient of the time domain vibration signal of each part are extracted and taken as fault feature parameters of the rocking arm gear, and the fault feature parameters are utilized to train fault classification models of a support vector machine, and thus the optimal fault classification model is obtained, and the fault diagnosis of the rocking arm gear of the coal cutter is achieved. The beneficial effects are that problems that fault information of the vibration signal of the rocking arm gear is difficult to extract and is single, and the fault identification rate is low are solved, and the multi-parameter-based fault diagnosis method of the rocking arm gear is enabled to be advantaged by simple calculation, easy implementation, high identification rate and the like.

Description

technical field [0001] The invention belongs to the field of fault diagnosis, in particular to a gear fault diagnosis method, in particular to a coal shearer rocker gear fault diagnosis method. technical background [0002] Shearer is a major production equipment in fully mechanized mining face. Intelligence, informatization and high reliability are the development direction of modern shearer. Condition monitoring and fault diagnosis are important means to ensure reliable operation of shearer. The rocker gear is the weakest link in the reliability of the coal mining machine. The failure of the rocker gear accounts for 34.2% of the total failures. The failure of the rocker gear will cause the shearer to fail to work normally, resulting in the shutdown of the working face and seriously affecting the normal operation of the coal mine. Production. The rocker gear fault diagnosis method based on the vibration signal includes two main steps. First, the original vibration signal i...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: in the fault diagnosis of the rocker arm gear of the coal mining machine, there are problems such as difficulty in extracting fault feature information, single fault information and low fault recognition rate

Images