Abstract
With the ever increasing spread of cloud computing services and industrial internet, the condition monitoring and diagnosis of electrical machines and drives is gradually shifting towards remote monitoring. This puts new requirements on the methodologies for condition monitoring through the communication and analysis of big data. In this paper we classify the different aspects of electrical machine diagnosis and investigate their relation with remote monitoring. The main emphasis is on two aspects out of four identified. The first one is the use of numerical simulations of faulty machines to generate the virtual data and relate global quantities to local ones. The second is the monitoring integration in the industrial internet, which means the hardware and software packaged within the monitored machine as well as the required information and communication technology. New trends in these fields are identified and analyzed and a synthesis of future needs is presented.
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