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首页> 外文学位 >A DECISION-THEORETIC METHOD FOR THE CLASSIFICATION OF INCIPIENT-FAILURE PATTERNS WHICH ARE CHARACTERISTIC OF DETERIORATING MINE POWER-SYSTEM COMPONENTS.
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A DECISION-THEORETIC METHOD FOR THE CLASSIFICATION OF INCIPIENT-FAILURE PATTERNS WHICH ARE CHARACTERISTIC OF DETERIORATING MINE POWER-SYSTEM COMPONENTS.

机译：一种决策-方法，用于对破坏矿井电力系统组件的特征进行事故失效模式的分类。

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摘要

An integral aspect of mining-system automation is prediction of incipient failures in the mine power system. Previous research has established the existence of patterns which characterize incipient failures. The pattern elements include parameters which are computed from both the time and frequency domains. Utilizing concepts of artificial intelligence, the required measurements for developing these patterns are simple and economical to perform.;The author's previous research, which provided the starting point for this thesis, is summarized. The experimental methodology is described. The theoretical development of a decision-theoretic method is presented. This dicussion is then followed by a description of the results of an experimental implementation and evaluation of the algorithms.;A decision-theoretic method has been developed to classify incipient-failure patterns. Preprocessing transforms were developed for the pattern vectors to improve the probability of correctly classifying the failure patterns. The resulting algorithms were evaluated for failure modes involving portable-cable-connected motors, which are common in mining systems.
机译：采矿系统自动化的一个不可或缺的方面是预测矿山电力系统中的初期故障。先前的研究已经建立了表征初期故障的模式的存在。模式元素包括从时域和频域计算的参数。利用人工智能的概念，开发这些模式所需的度量既简单又经济。实施方式；总结了作者先前的研究，为本文提供了起点。描述了实验方法。提出了决策理论方法的理论发展。然后，在此讨论之后，对实验实现的结果进行描述并对该算法进行评估。;已经开发了一种决策理论方法来对初期故障模式进行分类。为模式向量开发了预处理转换，以提高正确分类故障模式的可能性。针对在采矿系统中常见的便携式电缆连接电机的故障模式，评估了所得算法。

著录项

  • 作者

    KOHLER, JEFFERY LEE.;

  • 作者单位

    The Pennsylvania State University.;

  • 授予单位 The Pennsylvania State University.;
  • 学科 Engineering Mining.
  • 学位 Ph.D.
  • 年度 1983
  • 页码 155 p.
  • 总页数 155
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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