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In-circuit impedance extraction of a time-variant electrical system is essential for real-time condition monitoring purpose. This paper looks into the design consideration of real-time in-circuit monitoring for a time-variant system based on inductive coupling approach and discrete Fourier transform in a moving window. By using two clamped-on-type inductive probes, the proposed setup eliminates the need of voltage sensors to measure the terminal voltages of system-under-monitoring (SUM) and, hence, eliminates direct electrical contact with the SUM. Therefore, it facilitates ease of mounting and disassembly. Experimental results show that with careful design consideration, the proposed method has the ability to measure the in-circuit impedance of a time-variant system in real time, which facilitates useful inputs for early detection of abnormality of the monitored electrical system that is time variant in nature. [ABSTRACT FROM AUTHOR]

Last mile transportation, the movement of people and goods from a central hub to a final destination, is a challenging topic in implementing eco-friendly transport systems in modern cities. Much research has been focused on implementing a shared fleet of vehicles in achieving this goal. However, diverse commuter patterns as well as a large number of final destinations can lead to uneven distribution of the shared vehicles. In this paper, we propose and design a system platform for mitigation of vehicle distribution in an electric vehicle (EV) sharing scheme for last mile transportation by means of a remote driving approach. In this approach, a driver at a remote destination is enabled to maneuver the vehicle wirelessly and assist in the proper redistribution of the shared vehicle. Major technical challenges, such as handling wireless transmission latency, minimizing blind spots, and enhancing reliability, safety and security in the context of the remote driving system are identified and appropriate solutions are proposed and implemented. The developed system is validated with different performance-test measures and the outcomes are compared to that of normal driving. The results indicate that the proposed system platform can provide an adequate solution for last mile transportation through remote driving. [ABSTRACT FROM PUBLISHER]