LSSVM Algorithm and Its Application Research in Non-Linear Reliability Identification

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Abstract:

An intelligent method of reliability analysis of catenary pedestal based on compound algorithm is presented in this paper, support vector machine and analysis of finite element combined with Monte Carlo numerical simulation is integrated to improve simulation computing precision. The pedestal is critical force-bearing parts of catenary system in the high-speed electrified railway, and fault rate is very high, its reliability analysis is important research subject in railway system, it is difficult to built pedestal reliability model because it works in a complex and uncertain environment. In this paper, pedestal reliability analysis method based on compound intelligent algorithm is presented, integration algorithm mathematic model of pedestal reliability analysis is built, and the outside parameter influence on connecting bold is analyzed by the model. It provides a new way for the design and research of reliability in complex system of railway.

Keywords: CATENARY; COMPOUND ALGORITHM; FINITE ELEMENT ANALYSIS; MACHINE LEARNING THEORY; PEDESTAL; RELIABILITY

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2210

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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