基于自适应神经模糊推理系统的可靠性建模:燃气轮机应用

IF 1.3 Q2 MATHEMATICS, APPLIED
Nadji Hadroug, A. Hafaifa, Abdelhamid IRATNI, M. Guemana
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引用次数: 7

摘要

近年来,行业的发展要求对设施的工作条件进行监测和跟踪,以确定这些系统的可靠性、可用性和耐用性,从而客观地估计这些设施的使用寿命,降低维护成本。从这个意义上说,本工作提出了一种新的可靠性建模方法,以确定基于自适应神经模糊推理系统的失效评估指标,该系统应用于燃气轮机。这是为了描述这种旋转机器的行为,并估计其运行安全参数,以提高其在可维护性,可用性和运行安全方面的性能与有效的耐用性。将模糊规则应用于可靠性评估具有创新意义,为解决燃气轮机复杂运行环境下的可靠性识别问题提供了可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliability Modeling Using an Adaptive Neuro-Fuzzy Inference System: Gas Turbine Application
Recently, the development of the industry requires monitoring and follow-up of the working conditions of the facilities, to determine the reliability, availability, and durability of these systems, for objectively estimating the service life of these installations with reduced maintenance costs. In this sense, this work proposes a novel approach to reliability modeling, to determine failure assessment indicators based on an adaptive neuro-fuzzy inference system applied on a gas turbine. This is in order to describe the behavior of this rotating machine and to estimate their operating safety parameters, to improve its performance in terms of maintainability, availability, and operational safety with effective durability. The application of fuzzy rules to reliability estimation with practical implementations is innovative, making it possible to provide solutions to problems of reliable identification of gas turbines in their complex operating environments.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
13
审稿时长
40 weeks
期刊介绍: Fuzzy Information and Engineering—An International Journal wants to provide a unified communication platform for researchers in a wide area of topics from pure and applied mathematics, computer science, engineering, and other related fields. While also accepting fundamental work, the journal focuses on applications. Research papers, short communications, and reviews are welcome. Technical topics within the scope include: (1) Fuzzy Information a. Fuzzy information theory and information systems b. Fuzzy clustering and classification c. Fuzzy information processing d. Hardware and software co-design e. Fuzzy computer f. Fuzzy database and data mining g. Fuzzy image processing and pattern recognition h. Fuzzy information granulation i. Knowledge acquisition and representation in fuzzy information (2) Fuzzy Sets and Systems a. Fuzzy sets b. Fuzzy analysis c. Fuzzy topology and fuzzy mapping d. Fuzzy equation e. Fuzzy programming and optimal f. Fuzzy probability and statistic g. Fuzzy logic and algebra h. General systems i. Fuzzy socioeconomic system j. Fuzzy decision support system k. Fuzzy expert system (3) Soft Computing a. Soft computing theory and foundation b. Nerve cell algorithms c. Genetic algorithms d. Fuzzy approximation algorithms e. Computing with words and Quantum computation (4) Fuzzy Engineering a. Fuzzy control b. Fuzzy system engineering c. Fuzzy knowledge engineering d. Fuzzy management engineering e. Fuzzy design f. Fuzzy industrial engineering g. Fuzzy system modeling (5) Fuzzy Operations Research [...] (6) Artificial Intelligence [...] (7) Others [...]
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