Effect of electromechanical equipment wear on startup process indicators

Analytical determination of the electromechanical system starting process efficiency index with regard to the distributed nature of input products consumption

“…An approach to implementation of optimum starting process control systems that do not depend on the type of the electric motor started has been presented in [11]. An analytical expression for calculating the starting process efficiency index, which takes into account not only the whole range of impact of starting processes: electric power consumption, reduced service life of all kinds of equipment, additional economic risks, but also the output product generated by the starting process and its duration has been suggested in [11].…”

“…According to [11], the following types of input products are used during the EMS starting process: electric power and wear of the electromechanical and processing equipment. The useful output product, generated by the starting process, occurs in the form of kinetic energy of the EMS moving parts.…”

“…In [11], input products were brought to cost estimates, summarized, integrated during the start. As a result, scalar cybernetic starting process characteristics -integrated cost estimates of input R and output P products are formed upon the completion of start-up.…”

“…As a result, scalar cybernetic starting process characteristics -integrated cost estimates of input R and output P products are formed upon the completion of start-up. The expression [11] for determining the starting process efficiency index is obtained based on representing the starting process as the lumped-parameter operation, when the full magnitude of the integrated cost estimate of input products R is concentrated at a point in time corresponding to the beginning of the start. This greatly simplified approach allows the use of an analytical expression for determining the starting process efficiency index.…”

“…Using the mathematical model of a DC electric drive, developed by the author in [11], Attention is drawn to the general nature of variation of these signals over time -an increase to a maximum and then decrease to a minimum value. The presence of fluctuations in the equipment wear graphs is due to the presence of ripples.…”