A Fault Diagnosis Method for Harvester with Vertical Axial Flow Drum

Abstract

The invention discloses a fault diagnosis method for a harvester with a longitudinal axial flow drum. Acceleration signals of the main shaft of the harvester with a longitudinal axial flow drum collected by an acceleration sensor are sequentially passed through a direct current module to remove the collected bands. The DC component in the acceleration signal of the main shaft of the harvester with the longitudinal axial flow drum, and then the acceleration signal of the main shaft of the harvester with the longitudinal axial flow drum after the DC component has been removed is filtered by a filter to remove the noise interference component, Then the acceleration signal of the main shaft of the harvester with the longitudinal axial flow drum after denoising is sent to the computer. This combined with its control method can effectively avoid the problems of low diagnostic accuracy and large errors in the prior art, and when blockage occurs, the accuracy of instantaneous speed monitored during the process of slowing down and stopping is too low to meet the requirements of fault diagnosis.

Description

Technical field [0001] The invention belongs to the technical field of fault diagnosis for harvesters, and in particular relates to a fault diagnosis method for harvesters with longitudinal axial flow drums. Background technique [0002] For many years, domestically produced full-feed combine harvesters have basically adopted the horizontally arranged axial flow drum to separate the separation device. This arrangement has a compact structure and has better operating performance when the feed amount is small. However, due to the horizontal threshing drum Arrangement, limited by the space position, the threshing drum cannot be too long. Therefore, this type of harvester generally has the following problems: First, because the threshing drum is short, the threshing and separation capacity is limited, and the entrainment loss will be caused when the feed amount is slightly larger. Increase; second, poor adaptability to wet crops and some difficult-to-remove crops; third, uneven distr...

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.