A cloud based condition monitoring system for industrial machinery with application to power plants

The aim of this paper is studying how Cloud-Based condition monitoring data centers are designed, applied and controlled. Knowing that every cloud computing application for every industrial field should be designed according to their own manufacturing characteristic. In this paper, proper applications of infrastructure cloud computing technology are applied. Critical facilities like Electrical Power plants have been taken as case studies to apply a remote condition monitoring system for the critical assets using cloud based condition monitoring system for industrial machinery in order to determine the condition of equipment and predict potential problems remotely. The industrial case studies showed in practical ways that the speed of data transfer via the IaaS (Infrastructure as a Service) cloud data center is not affected by the monitoring location meanwhile the speed of data transfer depends only on the internet speed of the power station LAN (Local area Network) and the size of the transferred files.