In the field of fault tolerance estimation,the increasing attention in electrical motors is the fault detection and *** tasks performed by these machines are progressively complex and the enhancements are likewise loo...
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In the field of fault tolerance estimation,the increasing attention in electrical motors is the fault detection and *** tasks performed by these machines are progressively complex and the enhancements are likewise looked for in the field of fault *** has now turned out to be essential to diagnose faults at their very inception;as unscheduled machine downtime can upset deadlines and cause heavy financial *** this paper,fault diagnosis and speed control of permanent magnet synchronous motor(PMSM)is *** Neural Network(ENN)is used to diagnose the fault of permanent magnet synchronous *** the fault location and fault severity are *** this,eccentricity fault may occur in the *** control the speed of the permanent magnet synchronous motor,Dolphin swarmoptimization(DSO)algorithm is *** proposed work is simulated by using MATLAB in terms of amplitude,speed and *** comparison graph of speed *** obtained by the proposed method gives better result compared to the other existing *** proposed work is also compared with Particle swarmoptimization(PSO)and Elephant Herding optimization(EHO)*** proposed usage of Elman Neural Network to detect the fault and the usage of Dolphin swarmoptimizationalgorithm to control the speed of the permanent magnet synchronous motor gives better outcome.
Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fue...
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Due to the pressures caused by the energy crisis, environmental pollution, and international regulations, the largest ship-producing nations are exploring renewable resources, such as wind power, solar energy, and fuel cells to save energy and develop more environmentally-friendly ships. Solar energy has recently attracted a great deal of attention from both academics and practitioners;furthermore, the optimization of energy management has become a research topic of great interest. This paper takes a solar-diesel hybrid ship with 5000 car spaces as its research object. Then, following testing on this ship, experimental data were obtained, a multi-objective optimization model related to the ship's fuel economy and diesel generator's efficiency was established, and a partial swarm optimization algorithm was used to solve a multi-objective problem. The results show that the optimized energy management strategy for a hybrid energy system should be tested under different electrical loads. Moreover, the hybrid system's economy should be taken into account when the ship's power load is high, and the output power from the new energy generation system should be increased as much as possible. Finally, the diesel generators' efficiency should be taken into consideration when the ship's electrical load is low, and the injection power of the new energy system should be reduced appropriately.
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