Wind energy resources on Phuquoc Island,Vietnam

This study analyzes the wind energy resources on Phuquoc Island, Vietnam. Daily wind data are collected from 2005 to 2011 in this study. The annual mean speed and power density are 6 m/s and 355 W/m², respectively. Results show that more than 35% of the wind energy comes from the northwest. In this study, a 75 MW wind farm with 25 wind turbines is simulated by using the WAsP 10 program. The wind farm can produce over 189.636 GWh annually. In addition, the effects of wind disturbance and three-phase short circuit of the grid are analyzed using the ETAP 7.0 program.     

10kV一体化ETA/ETV在数字化变电站中的应用

介绍ET6-VT10型10kV一体化ETA/ETV的原理和特点,及其在110kV沙坪数字化变电站中的应用情况,同时针对其在调试、运行过程中出现的问题,提出了改进措施.     

双进双出钢球磨煤机煤粉细度调整试验及分析

介绍了华能沁北电厂4号机组双进双出钢球磨煤机的特点和煤粉细度调整试验。通过对磨煤机的煤粉细度调整试验,分析了分离器转速、磨煤机出力、料位、钢球加载量对煤粉细度的影响,使煤粉细度降低在合理的范围内,并确定了合理的磨煤机运行方式,提高了锅炉运行经济性。     

火花源发射光谱法测定生铁中硅的不确定度评定

对ARL-4460型直读光谱仪测定生铁中硅元素含量的不确定度进行了评定,通过建立数学模型,对评定过程中不确定度的来源及其组成分量进行分析与计算。计算结果得出生铁中硅元素测量结果的合成不确定度为0.012%,扩展不确定度为0.024%。由评定结果可以看出,工作曲线的变动性分量是影响合成不确定度的最重要因素,工作曲线的变动性分量同时也受到未知样品浓度及测量次数的影响。在测量条件与评定条件一致的情况下,此次不确定度评定结果可直接应用于日常测定工作中。     

Data-driven approach to machine condition prognosis using least square regression tree

Machine fault prognosis techniques have been profoundly considered in the recent time due to their substantial profit for reducing unexpected faults or unscheduled maintenance. With those techniques, the working conditions of components, the trending of fault propagation, and the time-to-failure are precisely forecasted before they reach the failure thresholds. In this work, we propose the least square regression tree (LSRT) approach, which is an extension of the classification and regression tree (CART), in association with one-step-ahead prediction of time-series forecasting techniques to predict the future machine condition. In this technique, the number of available observations is first determined by using Cao’s method and LSRT is employed as a prediction model in the next step. The proposed approach is evaluated by real data of a low methane compressor. Furthermore, a comparative study of the predicted results obtained from CART and LSRT are carried out to prove the accuracy. The predicted results show that LSRT offers the potential for machine condition prognosis. This paper was recommended for publication in revised form by Associate Editor Eung-Soo Shin Van Tung Tran is a lecturer at the Hochiminh City University of Technology in Vietnam. He received his B.S. and M.S. degrees in mechanical engineering from Hochiminh City University of Technology, Vietnam, in 1997 and 2003, respectively, and Ph.D. from Pukyong National University, South Korea in 2009. His research interests include machine fault diagnosis and condition prognosis. Bo-Suk Yang is a professor at the Puyong National University in Korea. He received his Ph.D. degree in mechanical engineering from Kobe University, Japan in 1985. His main research fields cover machine dynamics and vibration engineering, intelligent optimum design, and condition monitoring and diagnostics in rotating machinery. He has published well over 190 research papers in the research areas of vibration analysis, intelligent optimum design and diagnosis of rotating machinery. He is listed in Who’s Who in the World, Who’s Who in Science and Engineering, among others.     

Few‐view image reconstruction combining total variation and a high‐order norm

This work presents a novel computed tomography reconstruction method for few‐view problem based on a compound method. To overcome the disadvantages of total variation (TV) minimization method, we use a high‐order norm coupled within TV and the numerical scheme for our method is given. We use the root mean square error as a referee. The numerical experiments demonstrate that our method achieves better performance than existing reconstruction methods, including filtered back projection, expectation maximization, and TV with projection on convex sets. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 249–255, 2013     

A New Class of Nonlinear Guided Waves

Abstract

We consider a planar structure consisting of a linear film and adjacent substrate and cladding having unequal refractive indices and nonlinear coefficients. We show that a new class of waves exists in this structure. We analyse it and present its characteristics. In a symmetric waveguide, some branches reduce to well-known dispersion curves, but there are also unusual degenerate states which can have various applications.     

Precipitation behavior and strengthening effect in thermomechanical treatments of Al‐Zn‐Mg alloys

Abstract

An investigation was carried out to determine the precipitation behavior and strengthening effect in various thermomechanical treatments of Al‐Zn‐Mg alloys containing high Zn and low Mg contents. The results show that the precipitation behavior is largely influenced by a plastic deformation in the thermomechanical treatment, and the final precipitate and dislocation structures are greatly related to the influenced precipitation behavior; hence the strengthening effect is determined. Different alloy contents also cause different influences. A super‐strengthening occurs in the T‐AHA (80°C) treatment attributed to the optimum combination of dislocation and precipitate structure.