Automated system for processing diagnostic parameters of asynchronous motors for poultry house ventilation systems

Abstract

The most common electric motor to drive working machines is an asynchronous one with a short-circuited rotor. It has a fairly large resource, provided proper operation. When analysing faults, it was found that the most common cause of failure is increased wear of bearings. The diagnostic parameter of this fault is an increase in the eccentricity of the rotor, to identify which we have developed a diagnostic method that allows us to evaluate the technical condition of the engine using an indirect indicator, the rotor speed. To make a diagnosis, it is necessary to process the data on the dynamics of change in the rotor speed of the engine and predict its operation for the forthcoming period. To simplify data processing, a program has been developed that is an automated system for analysing diagnostic parameters and can significantly reduce the laboriousness and time of diagnosis, eliminating the influence of the human factor. The developed programme was used to analyse the operation of asynchronous engines in poultry house ventilation systems, to predict their failure, as well as to plan maintenance and repair.