Abstract
Machines and their components wear down over the course of time. A cause for increased wear can be misalignment issues that stay undetected and cause follow-up damages. Therefore, online monitoring of machines in the industry is of great importance. In this study, the axial misalignment occurring in different dimensions is determined. For this, a time frequency-based Short Time Fourier Transform (STFT) signal processing algorithm is used. The aim of the study is to diagnose faults without using sensors and external data collection systems, but rather by capturing motor current data from the servo motor of the machine.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have