DocumentCode :
1200898
Title :
Probability Technique to Predict Power Demand of Excavator Group
Author :
Minasiewicz, Stanislaw ; Hope, Gordon S. ; Malik, Om P.
Author_Institution :
Faculty of Engineering, Department of Electrical Engineering. University of Calgary, 2500 University Drive, NW, Calgary, AB, Canada T2N 1N4.
Issue :
1
fYear :
1986
Firstpage :
91
Lastpage :
96
Abstract :
A method is presented for determining the total power demand for a localized area where excavators such as shovels, draglines, and bucket-wheel excavators operate. It is based upon the synthesis of a probability distribution function developed from readily available and measurable parameters. Therefore, the results are a true reflection of real working conditions and are computationally efficient. The method is presented initially in theoretical terms. A set of basic density functions are processed and from these the total demand distribution is determined. The computer program is described and application of the proposed technique to practical examples is given.
Keywords :
Application software; Density functional theory; Employee welfare; Industry Applications Society; Petroleum; Power demand; Power engineering and energy; Probability distribution; Reflection; Signal processing;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.1986.4504687
Filename :
4504687
Link To Document :
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