Inrush current simulation plays an important role in many tasks of the power system, such as power transformer protection. However, the accuracy of the inrush current simulation can hardly be ensured. In this paper, a Jiles–Atherton (J–A) theory based model is proposed to simulate the inrush current of power transformers. The characteristics of the inrush current curve are analyzed and results ...

An accurate wind turbine power curve (WTPC) plays a vital role in forecasting and condition monitoring. There are two major shortcomings of current WTPC models that prevent more estimation, limited nonlinear fitting ability the lack in-depth understanding complex characteristics WTPC. This paper proposes novel regression to overcome these disadvantages simultaneously. First, they make use multi...

Studies of the muscle force-velocity relationship and its derived n-shaped power-velocity curve offer important insights into muscular limits of performance. Given the power is maximal at 1/3 V(max), geometric scaling of muscle force coupled with fluid drag force implies that this optimal muscle-shortening velocity for power cannot be maintained across the natural body-size range. Instead, musc...

The downstream distribution of stream power is derived and analysed for 11 different streams in the upper Hunter River catchment, Australia. Stream long profiles were produced in a GIS environment using DEM data and catchment area–discharge analysis. These profiles were analysed using three approaches, namely long profile smoothing, curve fitting and a theoretical model. The methodology for der...

For every q = l with l a prime power greater than 2, the GK curve X is an Fq2 -maximal curve that is not Fq2 -covered by any Fq2 -maximal DeligneLusztig curve. Interestingly, X has a very large Fq2-automorphism group with respect to its genus. In this paper we compute the genera of a large variety of curves that are Galois-covered by the GK curve, thus providing several new values in the spectr...

Wind power curve modeling is essential in the analysis and control of wind turbines (WTs), data preprocessing a critical step accurate modeling. As traditional methods do not sufficiently consider WT models, this paper proposes new cleaning method for In method, model-data hybrid-driven (MDHD) outlier detection algorithm constructed, an adaptive update rule major parameters designed based on mo...

Learning curves, which express performance as a function of the cumulative number repetitions when performing given task, have long tradition supporting managerial decisions in production and operations management. Performance generally improves task increases, with latter being primary proxy to reflect experience. A learning curve is usually maximum-likelihood trend-line that best fits raw dat...