Fault diagnosis method for harvester with longitudinal axial flow roller

Abstract

The invention discloses a fault diagnosis method for a harvester with a longitudinal axial flow roller. The fault diagnosis method comprises the following steps that an acceleration signal, acquired by an acceleration sensor, of a main shaft of the harvester with the longitudinal axial flow roller, passes through a direct current removing module, so a direct current component in the acceleration signal of the main shaft of the harvester with the longitudinal axial flow roller is removed; then the acceleration signal, in which the direct current component is removed, of the main shaft of the harvester with the longitudinal axial flow roller is filtered by a filter, so noise interference components are removed; the denoised acceleration signal of the main shaft of the harvester with the longitudinal axial flow roller is transmitted to a computer. Therefore, by combining the fault diagnosis method with a control method for the fault diagnosis method, the problems of low diagnosis precision and greater error in the prior art can be effectively avoided; in addition, when the blocking occurs, the defect that the requirement of fault diagnosis cannot be met due to the fact that instantaneous rotating speed precision monitored in the speed reducing downtime process is extremely low can be avoided.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis of harvesters, and in particular relates to a fault diagnosis method for harvesters with longitudinal axial flow drums. Background technique [0002] Over the years, domestically produced full-feed combine harvesters have basically adopted horizontally arranged axial-flow drums to separate from the separation device. This arrangement has a compact structure and better performance when the feed amount is small. Arrangement, limited by the space position, the threshing drum can not be too long, therefore, this type of harvester generally has the following problems: First, because the threshing drum is short, the threshing and separation capabilities are limited, and the entrainment loss will increase when the feeding amount is slightly larger Second, poor adaptability to wet crops and some hard-to-remove crops; third, material distribution on the cleaning screen surface is uneven, and t...

AI Technical Summary

Problems solved by technology

In this way, combined with its control method, it can effectively avoid the problems of low diagnostic accuracy and large errors in the prior art, and when a blockage occurs, the accuracy of the instantaneous speed monitored during the process of slowing down and stopping is also too low to meet the fault diagnosis requirements.