30 research outputs found

    Intelligent Parameter Design-based Impedance Optimization of STATCOM to Mitigate Resonance in Wind Farms

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    A Fast Classification Method of Faults in Power Electronic Circuits Based on Support Vector Machines

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    Fault detection and location are important and front-end tasks in assuring the reliability of power electronic circuits. In essence, both tasks can be considered as the classification problem. This paper presents a fast fault classification method for power electronic circuits by using the support vector machine (SVM) as a classifier and the wavelet transform as a feature extraction technique. Using one-against-rest SVM and one-against-one SVM are two general approaches to fault classification in power electronic circuits. However, these methods have a high computational complexity, therefore in this design we employ a directed acyclic graph (DAG) SVM to implement the fault classification. The DAG SVM is close to the one-against-one SVM regarding its classification performance, but it is much faster. Moreover, in the presented approach, the DAG SVM is improved by introducing the method of Knearest neighbours to reduce some computations, so that the classification time can be further reduced. A rectifier and an inverter are demonstrated to prove effectiveness of the presented design

    An Online ESR Estimation Method for Output Capacitor of Boost Converter

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    Timing, tectonic implications and genesis of gold mineralization in the Xincheng gold deposit, China: C–H–O isotopes, pyrite Rb–Sr and zircon fission track thermochronometry

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    The Xincheng gold deposit located at the northwestern edge of the Jiaodong Peninsula in the North China Craton has a reserve of ~ 96 t Au and is among the largest in the Jiaodong gold province. Here, disseminated- and stockwork-style ores are hosted in Mesozoic granitoids. The mineralization and alteration are largely controlled by the regional Jiaojia fault. The C–H–O isotope values in the ores indicate that the ore-forming fluids were derived mainly from magmatic sources. New Rb–Sr geochronological data on hydrothermal pyrite from the Xincheng deposit presented in this study indicate that the main gold mineralization occurred between 126 Ma and 122 Ma. The zircon fission track of convergent ages and decomposed divergent ages from the ores and altered rocks show four groups of ages: ~ 135 Ma, ~ 124 Ma, 96–75 Ma, and 66–52 Ma. The ~ 135 Ma is related to the exhumation and cooling of the Linglong granitoids. The ~ 124 Ma is considered to represent the principal stage of gold mineralization, and is consistent with the pyrite Rb–Sr ages. The younger ages of 96–75 Ma and 66–52 Ma resulted from subsequent annealing caused by later tectonic activity. The timing of gold mineralization in the Xincheng gold deposit broadly coincides with the switch in stress field in eastern China from extension to transpression, resulting from the change in subduction direction of the Pacific Plate from NE–SW to NW–SE, and marked by extension-related voluminous magmatism associated with the Cretaceous giant igneous event in eastern China

    Expression profiles of <i>BmYki</i> in <i>B</i>. <i>mori</i>.

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    <p>(A)mRNA levels of <i>BmYki</i> in different tissues of <i>Dazao</i> strain. HD(head); EP(epidermis); FB (fat body); TR (trachea); HA(hemocyte); MG(midgut); MT(malpighian tubule); TE(testis); OV(ovary); ASG(anterior silk gland); MSG(middle silk gland); PSG(posterior silk gland); SG (total silk gland). (B)mRNA levels of <i>BmYki</i> at different developmental stages of <i>Dazao</i> strain. 1L-1, 2L-1, 3L-1, and 4L-1(day-1 of the first, second, third, and fourth larval instar); 5L-1, 5L-3, 5L-5, and 5L-7(day-1, 3, 5, and 7 of the fifth instar), P-1(day-1 of the pupal stage), MM-1 and FM-1(day-1 of the male and female moth). Relative mRNA levels of <i>BmYki</i> against <i>sw22934</i> are shown. Error bars represent mean ±SD of three samples.</p
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