Paper Title:
Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory
  Abstract

This paper is mainly about the experiment research of oil monitoring for a kind of special heavy vehicle’s transmission system. The wear elements in lubrication oil of a heavy vehicle’s transmission system were analyzed by the spectroscopic analysis method, and gear’s wear status was studied. Probability density function and probability distribution function of wear information about the elements in lubricating oil were calculated by the maximum entropy theory. The running cut-off point is obtained for diagnostic criteria of the vehicle’s failure, which provided evidence for monitoring and judging the reliability of the vehicle’s wear.

  Info
Periodical
Advanced Materials Research (Volumes 314-316)
Chapter
Tooling/Testing and Evaluation of Materials
Edited by
Jian Gao
Pages
1391-1395
DOI
10.4028/www.scientific.net/AMR.314-316.1391
Citation
X. G. Liu, Z. G. Li, Z. L. Wang, "Research on Oil Monitoring of Heavy Vehicles Based on Information Entropy Theory", Advanced Materials Research, Vols. 314-316, pp. 1391-1395, 2011
Online since
August 2011
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Price
$32.00
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