Reliability in Automotive Engineering by Fuzzy Rule-Based FMEA
The Failure Modes and Effects Analysis (FMEA) is a reliability estimation method intended to identify potential failures which have significant consequences affecting the system performance. In a Failure Modes and Effects Analysis the Probability of Failu
- PDF / 591,967 Bytes
- 8 Pages / 439.37 x 666.142 pts Page_size
- 79 Downloads / 199 Views
tract The Failure Modes and Effects Analysis (FMEA) is a reliability estimation method intended to identify potential failures which have significant consequences affecting the system performance. In a Failure Modes and Effects Analysis the Probability of Failure (PoF), Consequence of Failure (CoF) and Detectability of Failure (DoF) may be determined using engineering judgment and/or based mathematical models, where the result is expressed in a term. The terms qualities and quantities are sometimes used to distinguish these methods. The fuzzy FMEA is a quantitative method of reliability or risk analysis which involves the study of the failure modes can occur in every part of an integrated system. The aim of this paper is to show the possibility of use of fuzzy set theory to estimate failure criticality level theoretically and practically by exemplification of case study of process’ risk assessment. Keywords Reliability analysis
Fuzzy set theory FMEA
1 Introduction The Failure Modes and Effects Analysis (FMEA) is a method of reliability analysis intended to identify potential failures which have significant consequences affecting the system performance and/or process consequence. Detail procedure on F2012-F10-003 L. Pokorádi (&) University of Debrecen Debrecen, Hungary T. Fülep Széchenyi István University Gy} or, Hungary
SAE-China and FISITA (eds.), Proceedings of the FISITA 2012 World Automotive Congress, Lecture Notes in Electrical Engineering 197, DOI: 10.1007/978-3-642-33805-2_64, Springer-Verlag Berlin Heidelberg 2013
793
794
L. Pokorádi and T. Fülep
how to carry out FMEA has been documented by IEC Standard Publication 812 [1]. During the analysis, experts discover the potential system failures and determine their efficient causes. The criticality level of causes—the Risk Priority Number (PRN)—determined above are assessed depend on they Probability of Failure (PoF), Consequence of Failure (CoF) and Detectability of Failure (DoF). Fuzzy logic seems to be a powerful mathematical tool capable of combining linguistic and numeric variables in order to estimate the subjectiveness involved in risk analysis and determine whether a risk or criticality level is acceptable or not [2]. Johanyák presented a research-development activity, which aims making Design FMEA more and more efficient with the help of network technologies, artificial intelligence and the modification of the original FMEA methodology [3]. The aim of our paper is to show fuzzy set theory-based Failure Mode and Effect Analysis.
2 Traditional FMEA The applied techniques to enhance reliability can also call tools to their aid, e.g. fuzzy logic. The most wide-spread and legally prescribed (e.g. UN-ECE Reg. 13, Annex 18, 3.4.4.) two techniques are the FMEA and Fault Tree Analysis (FTA), which are usually combined before their use with systematic, functional techniques, e.g. Reliability Block Diagram. It can be ambivalent how to classify these techniques, because on the one hand it is stated and visible that FTA has proper quantitative nature, b
Data Loading...
