Download Electrical Power Systems and Computers: Selected Papers from by Jeong-Gab Ju, Young-Bae Park, Bo-Ra Jung (auth.), Xiaofeng PDF

By Jeong-Gab Ju, Young-Bae Park, Bo-Ra Jung (auth.), Xiaofeng Wan (eds.)

This quantity comprises prolonged and revised models of a collection of chosen papers from the overseas convention on electrical and Electronics (EEIC 2011) , hung on June 20-22 , 2011, that's together prepared by means of Nanchang collage, Springer, and IEEE IAS Nanchang Chapter.

The goal of EEIC 2011 quantity three is to supply an incredible interdisciplinary discussion board for the presentation of recent ways from electrical energy platforms and desktops, to foster integration of the most recent advancements in clinical study. 133 similar subject papers have been chosen into this quantity. all of the papers have been reviewed by means of 2 software committee participants and chosen through the amount editor Prof. Xiaofeng Wan.

We wish each player may have an outstanding chance to switch their examine principles and effects and to debate the cutting-edge within the parts of energy structures and Computers.

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Additional resources for Electrical Power Systems and Computers: Selected Papers from the 2011 International Conference on Electric and Electronics (EEIC 2011) in Nanchang, China on June 20–22, 2011, Volume 3

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In the original k-means algorithm, the distance is calculated using each data element and center for each iteration. Therefore, the required computational time of this algorithm depends on the number of data elements, number of iterations and number of clusters so this method is computationally expensive. Although the EM algorithm yields the ML solution, the drawback of the EM algorithm is its sensitivity to the selection of the initial parameters. In addition, the resulting mixture depends on the number of selected components.

7 ⋅ 3! 9 ⋅ 4! (6) is absolutely convergent for all x , but requiring x < 1 to give good convergence within a few terms [3]. Star centroid can be separated by axis. Take x -axis, for example, the intensity reading of two neighboring pixels are written as I1 , I 2 : I1 = I π I2 = I π g ( x0 , σ x , a, b) g ( y0 , σ y , e, f ) = Mg ( y0 ,σ y , a, b) , (7) g ( x0 , σ x , c, d ) g ( y0 , σ y , e, f ) = Mg ( y0 , σ y , c, d ) , (8) where a, b, c, d are the two pixel boundaries in x -axis, and e, f the boundaries in y -axis.

2 Wavelet Packet Transformation We use the accelerometer to get the bearing vibration acceleration signal. Since bearing failure makes the energy of vibration signals decreases in some frequency bands, and increases in others, the bearing fault could be analyzed according to the energy of the frequency components which could be acquired from bearing vibration signal. As the wavelet packet analysis has the feature of multi-resolution, it is used to decompose bearing vibration signals in this paper, and then, we can get the energy of different frequency bands of the bearing vibration signal.

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