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The multilevel converter has been quite popular for the high-voltage and large-power applications. And many modulation techniques have been applied to the multilevel converter topologies. All the modulation techniques are pursuing high-power quality and minimum switching frequency. In this paper, the modulation techniques are analyzed deeply in a three-phase to single-phase 3L-NPC cascade converter...
As an ideal power supply, the advanced traction power supply system (ATPSS) is approved to totally remove the neutral sections and promote the power quality, which is a new direction development for traction power supply system. The existing ATPSS based on three-phase to single-phase converter needs to match the step-up transformer. The output current of this system is so heavy that it requires parallel...
With the development of high-speed railway in China, CRH is widely used in railway transportation. Traditional method of braking distance calculation is not suitable for CRH. In this paper, a more accurate brake distance of CRH locomotive has been calculated by using the calculus form of the kinematics formulas and verified by real data. Compared with existing data, the authenticity of this calculation...
The time series of daily returns of USD/CNY exchange rates suggest that there exists a leptokurtic feature (higher peak and fat tail) that results from some occasional jumps. So, we introduce the jump-diffusion model to describe the time series of daily returns. Since the traditional parameter estimation method, for example, MLE, can hardly detect the jumps exactly, then, we combine the jump detection...
The major purpose of this paper is to apply the fuzzy approach to analyze the valuation of European barrier options with fuzzy parameters. We mainly discuss the call and put option of up-and-out type. For a set of given fuzzy parameters, such as fuzzy interest rate, fuzzy dividend rate, fuzzy volatility rate and fuzzy stock price, we derive the fuzzy patterns of call and put European barrier option...
At present, tremendous evidences indicate reduced credit risk measurement models are comparatively accurate. However, this kind of model is complex. Thereby, it is often difficult to estimate parameters of it. To solve this problem, this paper uses adaptive estimation algorithm based on the combination of particle filter and simultaneous perturbation stochastic approximation to estimate parameters...
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