Motor Current Based Misalignment Diagnosis on Linear Axes with Short- Time Fourier Transform (STFT)
Mustafa Demetgul, Zhao Yicheng, Minjie Gu, J. Hillenbrand, Jürgen Fleischer
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.
Topics & Concepts
Short-time Fourier transformFourier transformConstant Q transformComputer scienceCurrent (fluid)Signal processingFast Fourier transformEngineeringElectronic engineeringAlgorithmDigital signal processingFourier analysisElectrical engineeringMathematicsMathematical analysisMachine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and Reliability