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Application of Crow-AMSAA to Predict Failure of Centrifugal Pumps with Increasing Failure Rates

Mohd Razali, Danial Syariman Razali (2011) Application of Crow-AMSAA to Predict Failure of Centrifugal Pumps with Increasing Failure Rates. Universiti Teknologi PETRONAS. (Unpublished)

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The purpose of this research is to focus on the failure model analysis on the centrifugal pumps data using Crow-AMSAA. The data were analyzed using two trend test methods which were Mann test and Laplace test. The data that satisfied those tests were subjected to Crow-AMSAA failure model analysis. This project also analyzed and evaluated the differences in the result acquired with the CrowAMSAA analysis and the actual data. The accuracy between the two parameters determined the accuracy of Crow-AMSAA analysis. Each of the pump selected, for which the criteria of selection were pumps with more than 5 failure occurrences, the result of each analysis procedure were reported. The graphs that were plotted in both the trend test and the Crow-AMSAA analysis were presented in this report. From the results of the analysis, the accuracy of the failure prediction of centrifugal pumps that were made using Crow-AMSAA as the prediction model were accurate with an error range of 16% to 19% percent.

Item Type: Final Year Project
Academic Subject : Academic Department - Mechanical Engineering - Materials - Advanced engineering materials - Processings and applications of metals alloys
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Users 2053 not found.
Date Deposited: 08 Nov 2013 09:42
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/10318

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