FMEA of Turbocharged Diesel Engine System Using Fuzzy Inferencing

This paper presents a novel method of the FMEA of the turbocharged diesel engine system using fuzzy inferencing. It uses a membership function to represent information of FMEA (e. g. failure mode and failure effect) that is described by linguistic variables to the defined categories. The knowledge o...

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Published in:SAE transactions 2000-01, Vol.109, p.529-535
Main Authors: Xu, Kai, Zhu, Meilin, Fan, Zhun, Gao, Jia
Format: Article
Language:English
Subjects:
Air compressors
Diesel engines
Failure modes
Fuzzy sets
Linguistics
Membership functions
Reliability engineering
Superchargers
Turbines
Wheels
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creator Xu, Kai
Zhu, Meilin
Fan, Zhun
Gao, Jia
description This paper presents a novel method of the FMEA of the turbocharged diesel engine system using fuzzy inferencing. It uses a membership function to represent information of FMEA (e. g. failure mode and failure effect) that is described by linguistic variables to the defined categories. The knowledge of experts is expressed in terms of if-then rules. Min-max inferencing is used to evaluate fuzzy model, and the Center of Area (centroid) method of defuzzification is adopted to obtain crisp results. A fuzzy-logic-based FMEA Two-stage Inferencing Model is developed. A prototype system based on the model has been constructed and used to conduct the FMEA of the turbocharger rotor-bearing subsystem. The results have shown the practicality of the method.
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subjects Air compressors
Diesel engines
Failure modes
Fuzzy sets
Linguistics
Membership functions
Reliability engineering
Superchargers
Turbines
Wheels
title FMEA of Turbocharged Diesel Engine System Using Fuzzy Inferencing
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