Abstract:
In this study, it is aimed to analyze the data, continuously received from electric motors through temperature, vibration, current, and speed sensors, and to perform the ...Show MoreMetadata
Abstract:
In this study, it is aimed to analyze the data, continuously received from electric motors through temperature, vibration, current, and speed sensors, and to perform the mechanical predictive fault detection with the Internet of Things (IoT) platform. A system design has been implemented that enables the transfer of sensor data to the IoT platform and enables users to access these data regularly via a web interface over the cloud system. With the proposed system model less cost, time savings, reduction in mechanical breakdowns, an increase in motor life, and efficiency can be achieved.
Published in: 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Date of Conference: 22-24 October 2020
Date Added to IEEE Xplore: 17 November 2020
ISBN Information: