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Ashraf AlShalalfeh and Laith Shalalfeh
In rotary machinery, bearings are susceptible to different types of mechanical faults, including ball, inner race, and outer race faults. In condition-based monitoring (CBM), several techniques have been proposed in fault diagnostics based on the vibrati...
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Laith Shalalfeh and Ashraf AlShalalfeh
Prognostic techniques play a critical role in predicting upcoming faults and failures in machinery or a system by monitoring any deviation in the operation. This paper presents a novel method to analyze multidimensional sensory data and use its character...
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Zheng Ren, Bin Jiang and Stefan Seipel
Capturing and characterizing collective human activities in a geographic space have become much easier than ever before in the big era. In the past few decades it has been difficult to acquire the spatiotemporal information of human beings. Thanks to the...
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Younghun Jung, Ju-Young Shin, Hyunjun Ahn, Jun-Haeng Heo
Pág. 1 - 20
The spatial and temporal structures of extreme rainfall trends in South Korea are investigated in the current study. The trends in the annual maximum rainfall series are detected and their spatial distribution is analyzed. The scaling exponent is employe...
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Samet Günay
In this study, the scaling properties of the oil and gold return volatilities have been analyzed in the context of bull and bear periods. In the determination of bull and bear turning points, we used the Modified Bry-Boschan Quarterly (MBBQ) algorithm. R...
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A. P. GARCÍA MARÍN,F. J. JIMÉNEZ HORNERO,J. L. AYUSO MUÑOZ
Multifractal turbulence formalism has been used to perform an analysis for scales from 1 hour to almost 6 months of the time structure of the hourly rainfall series recorded during twenty-four years in Córdoba, a location in southern Spain. The parame...
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