Abstract
Monitoring of vibration in machine tools is becoming a very important application in industry to reduce machine failures, maintenance costs, and dead time. In this paper, we propose a method to identify possible faults based on vibration data from which predictions about the working condition of the machine tools can be made. We used an accelerometer to collect the vibration data from which to analyse the health of machine tools by diagnosing whether they are in good or faulty condition for working. In our experiments, we introduced a machine called the Reliance Electric motor, which has a bearing running inside it. Our research analyses vibration data from components of the bearing including the outer bearing, inner bearing, and rolling element. The experimental results show that our method is highly accurate in diagnosing failures and significantly reduces the maintenance costs of machine tools.
Highlights
IntroductionOne of the most important manufacturers has been the machine
Since ancient times, one of the most important manufacturers has been the machine
Combining the above analysis methods, we use a combination of different types of failures to test the accuracy of the data after judgement
Summary
One of the most important manufacturers has been the machine. Once a machine beings to malfunction or is damaged, it is likely to lead to operating loss for the manufacturer. In order to avoid the abnormal situation remaining undetected for a long time, these failures should be diagnosed and repaired immediately to avoid many follow-up problems. Vibration analysis techniques [1,2,3,4,5] are commonly used to test the operating conditions of machine tools and to diagnose deterioration so as to minimize maintenance costs as well as machine down time. The authors of studies [3,4,5] focus extensively on the analysis of vibration data of ball bearings to provide diagnosis of failures
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
