Paper Title:
Diesel Engine Maintenance System, Using Trend Analysis of Histroical Data (Case Study)
  Abstract

Contaminant materials in lubricants are signs for prediction and measurement of wear in engines. Therefore oil monitoring is considered as one of the most effective techniques for maintaining the heavy equipments. However based on oil analysis data, the identification of engine problem is very hard due to different contribution factors. Hence, this paper is purposed to analyze the wear behavior of some sets of selected heavy equipment engine based on documented oil analysis data during two years in different conditions to track engine failures using trend analysis. Furthermore the selected equipments are divided into two major groups (plantation and forestry, and general construction) based on their environment, to show the effects of conditions on the engine wear behavior.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 26: Modeling, Analysis, and Simulation of Manufacturing Processes III
Edited by
Wu Fan
Pages
6755-6761
DOI
10.4028/www.scientific.net/AMR.383-390.6755
Citation
A. Sayyah, M. Nikbakht, M. Sayyah, B. Btht, N. Ismail, "Diesel Engine Maintenance System, Using Trend Analysis of Histroical Data (Case Study)", Advanced Materials Research, Vols. 383-390, pp. 6755-6761, 2012
Online since
November 2011
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Price
$32.00
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