{"title":"IoT Enabled Vibration Monitoring Toward Smart Maintenance","authors":"Amirhossein Khademi, F. Raji, M. Sadeghi","doi":"10.1109/IICITA.2019.8808837","DOIUrl":null,"url":null,"abstract":"Maintenance costs are a significant part of the total operating cost of all manufacturing plants. Condition monitoring is a key element of the maintenance program. Most comprehensive predictive maintenance programs use vibration as the primary parameter to monitor. However, the typical process of vibration monitoring relies too much on the human factor and has limitations. To overcome these shortcomings, a method is proposed in this paper. Moreover, the potential IoT using for smart maintenance is demonstrated. Additionally, it is explained how it can shape the maintenance toward the Industry 4.0. and how industrial IoT can help the condition monitoring of rotating machinery using vibration analysis. In this way, a method is proposed to make rotating machinery to IoT enabled devices by adding hardware to them. This hardware was designed and developed based on the requirements. Moreover, a new generation of accelerometer sensors has been introduced to measure the vibrations. For this purpose, a data acquisition web application is developed to evaluate the hardware. The evaluations show the quite precise of the results.","PeriodicalId":369090,"journal":{"name":"2019 3rd International Conference on Internet of Things and Applications (IoT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 3rd International Conference on Internet of Things and Applications (IoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICITA.2019.8808837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
Maintenance costs are a significant part of the total operating cost of all manufacturing plants. Condition monitoring is a key element of the maintenance program. Most comprehensive predictive maintenance programs use vibration as the primary parameter to monitor. However, the typical process of vibration monitoring relies too much on the human factor and has limitations. To overcome these shortcomings, a method is proposed in this paper. Moreover, the potential IoT using for smart maintenance is demonstrated. Additionally, it is explained how it can shape the maintenance toward the Industry 4.0. and how industrial IoT can help the condition monitoring of rotating machinery using vibration analysis. In this way, a method is proposed to make rotating machinery to IoT enabled devices by adding hardware to them. This hardware was designed and developed based on the requirements. Moreover, a new generation of accelerometer sensors has been introduced to measure the vibrations. For this purpose, a data acquisition web application is developed to evaluate the hardware. The evaluations show the quite precise of the results.