Zhejing Bao

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The feature-frequency technique based on discrete wavelet transform (DWT) is proposed to diagnose the gear faults of wind turbine. Discrete wavelet decomposition to the vibration acceleration signal, combined with the analysis of energy distribution in different frequency band, is applied to determine the characteristic frequency band of the fault, and then(More)
In recent years, much research effort has been made aiming to alleviate and smooth the power fluctuation induced by the wind farm due to its intermittent nature. The integration of hybrid energy storage system (HESS) including battery energy storage system (BESS) and super-capacitors energy storage system (SCESS) has been considered one of the appropriate(More)
Any single one of the Auto-Regressive (AR) model, Moving Average (MA) model and Auto-Regressive and Moving Average (ARMA) model can not match the complex time-series data of electricity price, consequently the traditional Box-Jenkins method can not solve the forecasting of electricity price well. In this paper, fuzzy Box-Jenkins approach for modeling and(More)
The special characteristics of slowly moving infrared targets, such as containing only a few pixels, shapeless edge, low signal-to-clutter ratio, and low speed, make their detection rather difficult, especially when immersed in complex backgrounds. To cope with this problem, we propose an effective infrared target detection algorithm based on temporal(More)
The measurement and analysis of power quality for grid-connected offshore wind farm is one of the key issues. This paper attempts to address this technical challenge through a simulation-based study by the use of PSCAD/EMTDC models. We consider an equivalent model with 50MW capacity for offshore wind farm consisting of 10 doubly fed induction generators(More)
Cascading failure is the main mechanism of large blackouts in power grid. In this paper, a model of cascading failure propagation based on synergetics theory is constructed. Numerical simulations show that the macroscopic properties of the power grid during cascading failure propagation are governed by the general laws of synergetics. Real blackout data are(More)
This paper is concerned with the problem of stability for recurrent neural networks with time-delay. By choosing a new class of Lyapunov-Krasovskii functional, some new delay-dependent stability criteria are derived in terms of linear matrix inequalities. The obtained results are less conservative than the existing ones because of the introducing of the(More)