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Analysis of Charge-Exchange Spectrum during Lower Hybrid Current Drive on HT-7 Tokamak
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作者 刘胜侠 万宝年 +8 位作者 匡光力 高翔 胡立群 秦品健 姚爱玲 龚先祖 石跃江 陈磊 李健刚 《Plasma Science and Technology》 SCIE EI CAS CSCD 2000年第6期523-527,共5页
A perpendicular neutral particle analyzer (NPA) is used on HT-7 tokamak experiment to provide the measurements of neutral particle flux and ion temperature. The measured results were compared with calculated data by ... A perpendicular neutral particle analyzer (NPA) is used on HT-7 tokamak experiment to provide the measurements of neutral particle flux and ion temperature. The measured results were compared with calculated data by Monte-carlo method for ohmic heating. In lower hybrid current drive (LHCD) experiments, the ion heating of LHCD was identified. The chargeexchange neutral particle flux enhanced was observed. The energy spectrum clearly showed a high-energy ions tail. The bulk ion temperature increased by 0.4-0.5 keV after the onset of LHCD. Efficient ion heating of 1 eV. kW-1 was obtained. 展开更多
关键词 LHCD analysis of Charge-Exchange spectrum during Lower Hybrid current Drive on HT-7 Tokamak HT
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Testing and Analysis of Induction Motor Electrical Faults Using Current Signature Analysis 被引量:1
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作者 K. Prakasam S. Ramesh 《Circuits and Systems》 2016年第9期2651-2662,共13页
The proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The performance of the proposed method deals with the emergin... The proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) to diagnosis the stator faults of Induction Motors. The performance of the proposed method deals with the emerging technique called as Motor Current Signature Analysis (MCSA) and the Zero-Sequence Voltage Component (ZSVC) to diagnose the stator faults of Induction Motors. The unalleviated study of the robustness of the industrial appliances is obligatory to verdict the fault of the machines at precipitate stages and thwart the machine from brutal damage. For all kinds of industry, a machine failure escorts to a diminution in production and cost increases. The Motor Current Signature Analysis (MCSA) is referred as the most predominant way to diagnose the faults of electrical machines. Since the detailed analysis of the current spectrum, the method will portray the typical fault state. This paper aims to present dissimilar stator faults which are classified under electrical faults using MCSA and the comparison of simulation and hardware results. The magnitude of these fault harmonics analyzes in detail by means of Finite-Element Method (FEM). The anticipated method can effectively perceive the trivial changes too during the operation of the motor and it shows in the results. 展开更多
关键词 Three Phase Induction Motor Motor current Signature analysis (MCSA) ZSVC Fault Diagnosis current spectrum analysis
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