Synthesis of the AC and DC Drives Fault Diagnosis Method for the Cyber-physical Systems of Building Robots

This article studies the development of a prediction diagnosis cyber-physical system for DC and AC electric drives of construction robots . The struc-ture of the cyber-physical system is described and the defect statistics for asynchronous drives submitted. Additionally, a critical analysis of existing diagnostic methods, the selection of the optimal set of diagnostic parameters and existing methods for measuring and analyzing the parameters used for the drives adopted in construction robots for is described. As a result of numerous experiments has been revealed the dependence of measurement of wavelet transformation coefficients on the characteristic scales of a serviceable and faulty engine under different loading regimes. Based on the received information has been developed a neural classification network which makes it possible to reveal the current state of the object.