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Title: A fuzzy logic methodology for fault-tree analysis in critical safety systems

Abstract

A new approach for fault-tree analysis in critical safety systems employing fuzzy sets for information representation is presented in this paper. The methodology is based on the utilization of the extension principle for mapping crisp measurements to various degrees of membership in the fuzzy set of linguistic Truth. Criticality alarm systems are used in miscellaneous nuclear fuel processing, handling, and storage facilities to reduce the risk associated with fissile material operations. Fault-tree methodologies are graphic illustrations of tile failure logic associated with the development of a particular system failure (top event) from basic subcomponent failures (primary events). The term event denotes a dynamic change of state that occurs to system elements, which may include hardware, software, human, or environmental factors. A fault-tree represents a detailed, deductive, analysis that requires extensive system information. The knowledge incorporated in a fault tree can be articulated in logical rules of the form [open quotes]IF A is true THEN B is true.[close quotes] However, it is well known that this type of syllogism fails to give an answer when the satisfaction of the antecedent clause is only partial. Zadeh suggested a new type of fuzzy conditional inference. This type of syllogism (generalized modus ponens) readsmore » as follows: Premise: A is partially true Implication: IF A is true THEN B is true Conclusion: B is partially-true. In generalized modus ponens, the antecedent is true only to some degree; hence, it is desired to compute the grade to which the consequent is satisfied. Fuzzy sets provide a natural environment for this type of computation because fuzzy variables (e.g., B) can take fuzzy values (e.g., partially-true).« less

Authors:
;  [1]
  1. Univ. of Tennessee, Knoxville (United States)
Publication Date:
OSTI Identifier:
5892679
Report Number(s):
CONF-930601-
Journal ID: ISSN 0003-018X; CODEN: TANSAO
Resource Type:
Conference
Journal Name:
Transactions of the American Nuclear Society; (United States)
Additional Journal Information:
Journal Volume: 68; Conference: American Nuclear Society (ANS) annual meeting, San Diego, CA (United States), 20-24 Jun 1993; Journal ID: ISSN 0003-018X
Country of Publication:
United States
Language:
English
Subject:
11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS; 42 ENGINEERING; ALARM SYSTEMS; FUZZY LOGIC; SAFETY ANALYSIS; NUCLEAR FACILITIES; CRITICALITY; FAULT TREE ANALYSIS; SAFETY ENGINEERING; ENGINEERING; MATHEMATICAL LOGIC; SYSTEM FAILURE ANALYSIS; SYSTEMS ANALYSIS; 054000* - Nuclear Fuels- Health & Safety; 420203 - Engineering- Handling Equipment & Procedures

Citation Formats

Erbay, A, and Ikonomopoulos, A. A fuzzy logic methodology for fault-tree analysis in critical safety systems. United States: N. p., 1993. Web.
Erbay, A, & Ikonomopoulos, A. A fuzzy logic methodology for fault-tree analysis in critical safety systems. United States.
Erbay, A, and Ikonomopoulos, A. Fri . "A fuzzy logic methodology for fault-tree analysis in critical safety systems". United States.
@article{osti_5892679,
title = {A fuzzy logic methodology for fault-tree analysis in critical safety systems},
author = {Erbay, A and Ikonomopoulos, A},
abstractNote = {A new approach for fault-tree analysis in critical safety systems employing fuzzy sets for information representation is presented in this paper. The methodology is based on the utilization of the extension principle for mapping crisp measurements to various degrees of membership in the fuzzy set of linguistic Truth. Criticality alarm systems are used in miscellaneous nuclear fuel processing, handling, and storage facilities to reduce the risk associated with fissile material operations. Fault-tree methodologies are graphic illustrations of tile failure logic associated with the development of a particular system failure (top event) from basic subcomponent failures (primary events). The term event denotes a dynamic change of state that occurs to system elements, which may include hardware, software, human, or environmental factors. A fault-tree represents a detailed, deductive, analysis that requires extensive system information. The knowledge incorporated in a fault tree can be articulated in logical rules of the form [open quotes]IF A is true THEN B is true.[close quotes] However, it is well known that this type of syllogism fails to give an answer when the satisfaction of the antecedent clause is only partial. Zadeh suggested a new type of fuzzy conditional inference. This type of syllogism (generalized modus ponens) reads as follows: Premise: A is partially true Implication: IF A is true THEN B is true Conclusion: B is partially-true. In generalized modus ponens, the antecedent is true only to some degree; hence, it is desired to compute the grade to which the consequent is satisfied. Fuzzy sets provide a natural environment for this type of computation because fuzzy variables (e.g., B) can take fuzzy values (e.g., partially-true).},
doi = {},
journal = {Transactions of the American Nuclear Society; (United States)},
issn = {0003-018X},
number = ,
volume = 68,
place = {United States},
year = {1993},
month = {1}
}

Conference:
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