Research Papers - Department of Electrical and Electronic Engineering

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    Reliability modeling considerations for emerging cyber-physical power systems
    (IEEE, 2018-06-24) Aravinthan, V; Balachandran, T; Ben-Idris, M; Fei, W; Heidari-Kapourchali, M; Hettiarachchige-Don, A. C. S; Jiang, J. N; Lei, H; Lei, C. C; Mitra, J; Ni, M; Papic, M; Parvania, M; Sephary, M; Singh, C; Srivastava, A; Stefanov, A; Sun, H; Tindemans, S
    Power system operation considering an increasingly complex cyber infrastructure may be one of the key factors of the next generation power systems. The effective operation of a power system in a massively deployed cyber network environment will be affected by cyber network reliability. Therefore, it is vital not only to understand the operation of a cyber network and its reliability, but also it is critical to integrate the interdependency of cyber and power systems into power system planning and operations. This requires a three-layer approach to reliability modeling and evaluation. The cyber and power layers are interconnected by the information layer. The objective of this paper is to define the three-layer model and report a generalized framework for combined reliability modeling.
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    Design evolution of engineering systems using bond graphs and genetic programming
    (Pergamon, 2016-02-01) Samarakoon, B. L; Gamage, L. B; de Silva, C. W
    This paper presents a scheme of evolutionary design optimization, which integrates modeling with bond graphs and optimization using genetic programming for multi-domain engineering systems, particularly mechatronic systems. The performance of the developed system is studied using both experimentation and simulation. During the evolutionary optimization, in addition to the desired response error, system complexity is also taken into account. For the experimental study, the method is implemented in an industrial fish processing machine at the Industrial Automation Laboratory of the University of British Columbia, and the obtained results for suggested design modifications are studied and tested. The drawbacks of the fitness calculation methodologies that are presented in literature are identified and improved fitness functions are developed for evolutionary design in the present work. While previous work has investigated the integration of bond graphs and genetic programming for designing an engineering system, the present work specifically addresses the application of the developed method for the design improvement of an industrial machine. The proposed method is applicable particularly to existing engineering systems, first because the initial model can be tested by comparing its simulated results with the corresponding results from the actual physical system, and second because the design improvements as suggested by the evolutionary design framework, which is developed in the present work, may be implemented and tested against the behavior of the corresponding model.
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    Modeling of optical carrier recovery using four wave mixing technique for binary phase shift keying systems
    (IEEE, 2015-04-07) Malasinghe, L. P; Weerasuriya, R
    Modern communication networks uses optical fibre extensively. The transport networks are upgrading its capacity continuously to provide the bandwidth requirement of the customer requirements. To provide such an increase in bandwidth, the transmission networks are moving from Amplitude Shift Keying modulation methods to Phase Shift Keying methods. In phase shift keying systems, data reception and regeneration required phase synchronization. This requires original optical carrier phase information. In this paper, we report a model for optical carrier recovery for optical synchronization of a Binary Phase Shift Keying input by exploiting Four Wave Mixing in Highly Non-Linear Fibers. The noise influence from the signal laser for the recovered carrier was analyzed.