{"title":"Real Time Condition Based Monitoring and Reliability Analysis","authors":"S. Talabgaew","doi":"10.1109/ICSRS.2018.8688866","DOIUrl":null,"url":null,"abstract":"As known, thermal is one of the important causes of machine failure, especially in the rotational parts like shaft or bearing in coating machine for fiber-plastic bag industry. While machine is running, temperature is getting higher and accumulates. In order to protect machine failure from overheat, this research developed the real time CBM to keep controlling temperature and applied reliability theory for lifetime analysis. The average temperature measured by sensor was calculated to be the probability of failure, failure rate and MTTF for making decision about maintenance plan. Although this experiment was a pilot project and experimented in one coating machine, the results showed that this real time CBM can significantly reduce the cost of spared parts, maintenance staff and downtime loss of this coating machine up to 50%. In the future, there will be more implementations for those kinds of machine having thermal effect to extend lifetime and reduce maintenance cost.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSRS.2018.8688866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
As known, thermal is one of the important causes of machine failure, especially in the rotational parts like shaft or bearing in coating machine for fiber-plastic bag industry. While machine is running, temperature is getting higher and accumulates. In order to protect machine failure from overheat, this research developed the real time CBM to keep controlling temperature and applied reliability theory for lifetime analysis. The average temperature measured by sensor was calculated to be the probability of failure, failure rate and MTTF for making decision about maintenance plan. Although this experiment was a pilot project and experimented in one coating machine, the results showed that this real time CBM can significantly reduce the cost of spared parts, maintenance staff and downtime loss of this coating machine up to 50%. In the future, there will be more implementations for those kinds of machine having thermal effect to extend lifetime and reduce maintenance cost.