Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/15150
Title: Diagnosis of thruster fault condition using statistical design of experiment
Authors: Yusoff, Mohd Akmal Mohd
Arshad, Mohd Rizal
Zakaria, Muzammer
Keywords: Statistical Design of Experiment (DOE)
Analysis of variance (ANOVA)
Factorial design
Thruster fault diagnosis
Issue Date: Dec-2012
Publisher: NISCAIR-CSIR, India
Abstract: Present study consists the diagnosis of thruster fault condition using statistical design of experiment. Fault in thruster can cause deviation in process parameter, i.e. current load which could interfere with the propulsion system and overall system operation. The faulty conditions are demonstrated by blocked ducting. Variations of current load due to several conditions e.g. normal and faulty are studied using analysis of variance (ANOVA) and factorial design. Two-Factor factorial design is used to analyze the means in each factor. The two factors are the armature voltage and thruster condition. Tukey’s method is used to test all pair wise means in a single factor i.e. thruster condition in order to confirm the significant variation for each condition. Result from the experiment shows that the null hypothesis H0 for both Two-Factor factorial design and Tukey’s test are rejected and the alternate hypothesis H1 is accepted. This indicates that the current loads for each pair are varying and all means in thruster condition factor are significantly different.
Description: 550-556
URI: http://hdl.handle.net/123456789/15150
ISSN: 0975-1033 (Online); 0379-5136 (Print)
Appears in Collections:IJMS Vol.41(6) [December 2012]

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