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首页> 外文会议>International Conference Complex Systems: Control and Modeling Problems >Intelligent Information Support for Decision Making in Maintenance and Equipment Repair Management
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Intelligent Information Support for Decision Making in Maintenance and Equipment Repair Management

机译：在维护和设备维修管理中为决策提供智能信息支持

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摘要

The concept of organization of intellectual information support for decision-making, including primary processing of data on failures and symptoms, is discussed. Determination of probabilities and verification of the most probable symptom with recalculation of values of all posterior probabilities is considered in this article. The formalization of knowledge and formation of production system rules in the form of recommendations are shown. Also authors discuss organizing decision-making information support using symptom-based failure detection technology. As well as classification of equipment and components based on key factors in order to identify the most “in-demand” components and components taking into account coefficients associated with class at planning purchases in order to ensure timely supply of components are discussed. The solution is made using Bayes method based on statistical information on relationship of signs with states and on frequency of manifestation of these states. In the process of knowledge formalization, authors proposed to use production system rules in procurement planning, classification of componentsodes using neuro-fuzzy systems, forecasting and optimization methods. New knowledge obtained in the process of data analysis allows expanding the information base. Practical realization is performed using analytical MATLAB platform and EXSYS Corvid developed in USATU.
机译：讨论了为决策提供智力信息支持的组织概念，包括对故障和症状数据的主要处理。本文考虑了概率的确定并通过重新计算所有后验概率的值来验证最可能的症状。以建议的形式显示了知识的形式化和生产系统规则的形成。作者还讨论了使用基于症状的故障检测技术来组织决策信息支持。讨论了基于关键因素的设备和组件分类，以便确定最“需求”的组件和组件，并在计划购买时考虑与类别相关的系数，以确保组件的及时供应。该解决方案是使用贝叶斯方法，基于关于符号与状态的关系以及这些状态的出现频率的统计信息。在知识形式化的过程中，作者提议在采购计划中使用生产系统规则，使用神经模糊系统对组件/节点进行分类，预测和优化方法。在数据分析过程中获得的新知识可以扩展信息基础。使用解析MATLAB平台和USATU开发的EXSYS Corvid进行实际实现。

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