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A new method used in error and VI characteristics measurement of current transformer is developed based on the equivalent model of current transformer. Using this method, the up-flow unit and the standard current transformer are not necessary. And more characteristics of current transformer can be inferred. The current transformer calibrator developed based on this method can carry out rapid and precise...
In this paper, accurate measurement of three dimensional (3-D) magnetic properties of soft magnetic composite (SMC) material is carried out by using an improved 3-D tester with adjustable excitation coils and novel sensing coils attached upon the surface of the SMC specimen. Comparing with the conventional 3-D tester operating at 50 Hz, the improved 3-D tester enables measurements over wide frequency...
SMC (soft magnetic composite) materials and SMC electrical machines have undergone significant development in the past decade. For the molding of the SMC core, if a high productivity low pressure press is used, the manufacturing cost can be dramatically reduced. However, the magnetic properties of the SMC core and the machine performance are highly dependant on the mass density of the core. This paper...
An improved three-dimensional (3-D) magnetic property measurement system, which can indirectly measure the magnetic field strength H vector in a cubic sample of soft magnetic composite (SMC) material by controlling the three components of the magnetic flux density B vectors, has been developed and calibrated. This paper especially describes the improved structure of the sample with H and B sensing...
This paper presents the development of a permanent magnet motor with soft magnetic composite (SMC) stator core for driving a dishwasher pump. The unique properties of the SMC, such as 3D magnetic isotropy and molding production technique, have been taken into account in the design. 3D magnetic field finite element analysis is carried out to accurately compute the motor parameters and an equivalent...
Researches have discovered that rich interactions among entities in nature and human society bring about complex networks with community structures. In this paper, we propose a novel algorithm BiTector (bi-community detector) to mine the overlapping communities in large-scale sparse bipartite networks. We apply the algorithm to various real-world datasets, showing that BiTector can identify the overlapping...
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