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Small scale quad-rotor unmanned aerial vehicle (UAV) has attracted much attention in recent years and has been widely adopted in many civil applications, e.g. inspection of critical infrastructure spanning over a large geographical area. In a typical UAV based inspection system for large-scale photovoltaic farm, it is required to control the mounted gimbal camera taking pictures of all the PV modules...
Combining the advantages of empirical mode decomposition (EMD) and kernel independent component analysis (KICA), an underdetermined blind source separation method of nonlinear mixed wind turbine faults based on EMD-KICA in combination with PSO (Particle Swarm Optimization) is proposed. In the proposed method, the nonlinear mixed signals are firstly decomposed into a set of intrinsic mode function...
Short-term prediction of wind speed is important to the power system operation. Generation schedules in a wind farm could be efficiently assigned by means of precise prediction of wind speed to alleviate the impact of instable wind power on power grids. Back-propagation neural network (BPNN) is a main approach for short-term wind speed prediction. The method, using the improved particle swarm optimization...
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