Balkan Journal of Electrical and Computer Engineering 2147-284X 2147-284X MUSA YILMAZ 10.17694/bajece.1018947 Electrical Engineering Elektrik Mühendisliği An Intelligent Machine Condition Monitoring Model for Servo Systems https://orcid.org/0000-0003-0584-3827 Mutlu Hayri MARMARA ÜNİVERSİTESİ https://orcid.org/0000-0001-8397-3454 Akuner Caner MARMARA ÜNİVERSİTESİ https://orcid.org/0000-0002-8154-5883 Akgün Gazi MARMARA ÜNİVERSİTESİ 01 30 2022 10 1 23 29 11 04 2021 12 17 2021 Copyright © 2013, Balkan Journal of Electrical and Computer Engineering 2013 Balkan Journal of Electrical and Computer Engineering

The installation of industrial servo systems and the determination of control parameters are limited to the skills and knowledge of the commissioner. In addition, commissioned systems are often not re-optimized if environmental influences or loads change. The goal of this research is to create an artificial neural network (ANN) model for servo systems that will keep the servo system's proportional, integral, and derivative (PID) parameters working optimally. For this process, a machine condition monitoring algorithm developed with the ANN technique, which uses the data such as actual current, torque, power, position to be obtained from the servo system on an industrial controller, for the control and rearrangement of the parameters.

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