技术对象诊断系统组织

Q2 Social Sciences
V. Voronin, O. A. Davydov
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引用次数: 4

摘要

在进行操作、维修和重建工作时,要保持特定水平的技术对象的可靠性。预计诊断系统将参与这些活动。由于现在有各种各样的技术对象,诊断系统基于各种各样的原理。其中,神经网络技术和专家系统技术的应用最为广泛。本文考虑了基于上述技术的诊断系统开发过程中需要解决的一些特殊问题;即:诊断指标的配给,特定参数评估通用功能框架的建立,神经功能网络诊断系统的开发,概念诊断模型的两个片段的开发,诊断情境的描述和专家系统数据库中诊断参数的描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Technical objects diagnostics systems organising
While operating, repair and reconstruction works, maintaining particular level of technical objects' reliability, are carried out. Diagnostic systems are expected to be involved in these activities. As there are a great variety of technical objects available nowadays, diagnostic systems are based on wide variety of principles. Among them neural network technology and expert system technology are the most multi-purpose. A number of particular problems, expected to be solved in developing of diagnostic systems based on technologies mentioned above, is considered in these article; namely: rationing of diagnostic indicators, creating of general purpose functional framework for evaluating particular parameters, developing of neural functional network diagnostic system, developing of two fragments of conceptual diagnostic model, describing diagnostic context and diagnostic parameters in expert system database.
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来源期刊
International Journal of Energy Technology and Policy
International Journal of Energy Technology and Policy Social Sciences-Geography, Planning and Development
CiteScore
1.50
自引率
0.00%
发文量
16
期刊介绍: The IJETP is a vehicle to provide a refereed and authoritative source of information in the field of energy technology and policy.
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