{"title":"Study and Application on the Early Damage Signal Characteristics of Ultra-Low-Speed and Heavy-Load Rolling Bearings of Large Amusement Machinery","authors":"Yuan Liu, Yaguang Jin, Gaoyu Cui, Gongtian Shen","doi":"10.1784/insi.2023.65.5.270","DOIUrl":null,"url":null,"abstract":"Ultra-low-speed and heavy-load bearings are widely used in large amusement machinery. Their breakdown results in great economic losses and possibly even personal injuries. Using their damage signal characteristics to quickly identify early damage is an effective means of preventing\n accidents. In this study, to determine the early damage signal characteristics of the ultra-low-speed and heavy-load slewing mechanism, a typical ultra-low-speed and heavy-load bearing rotation experimental platform and signal testing system are designed and built, so as to simulate the operation\n of the rolling bearings of large amusement machinery with ultra-low speed and heavy load. Next, by constructing different bearing damage sizes and operating conditions, the vibration signal characteristics of different degrees of crack damage are analysed, along with the signal variation law\n of the same damage under different operating conditions. The effectiveness and practicability of this method are verified through the application analysis of a slewing bearing of a typical piece of large amusement machinery. The results of this study provide a reference for quickly identifying\n early damage in similar equipment and determining the damage state.","PeriodicalId":344397,"journal":{"name":"Insight - Non-Destructive Testing and Condition Monitoring","volume":"139 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insight - Non-Destructive Testing and Condition Monitoring","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1784/insi.2023.65.5.270","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Ultra-low-speed and heavy-load bearings are widely used in large amusement machinery. Their breakdown results in great economic losses and possibly even personal injuries. Using their damage signal characteristics to quickly identify early damage is an effective means of preventing
accidents. In this study, to determine the early damage signal characteristics of the ultra-low-speed and heavy-load slewing mechanism, a typical ultra-low-speed and heavy-load bearing rotation experimental platform and signal testing system are designed and built, so as to simulate the operation
of the rolling bearings of large amusement machinery with ultra-low speed and heavy load. Next, by constructing different bearing damage sizes and operating conditions, the vibration signal characteristics of different degrees of crack damage are analysed, along with the signal variation law
of the same damage under different operating conditions. The effectiveness and practicability of this method are verified through the application analysis of a slewing bearing of a typical piece of large amusement machinery. The results of this study provide a reference for quickly identifying
early damage in similar equipment and determining the damage state.