| 模拟故障数据的构造算法研究 |
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| 引用本文： | 赵高长.模拟故障数据的构造算法研究[J].西安科技大学学报,2011,31(2). |
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| 作者姓名： | 赵高长 |
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| 作者单位： | 西安科技大学,理学院,陕西,西安,710054 |
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| 基金项目： | 陕西省教育厅自然科学基金专项资助项目 |
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| 摘 要： | 基于统计学方法,对故障诊断及故障处理过程中可能遇到的典型故障现象,提出一系列稳定可靠的故障数据模拟新算法,由此可灵活组配各种需要的模拟数据方案.建立了模拟故障数据构造的层次组合模型,总结出不同实际情况需求的模拟故障数据算法步骤.结合配电网中2个实例,通过等价类划分进行实验.结果表明所建议的方法在故障数据模拟过程中简单实用.该算法尽可能抽象故障数据中最本质的内容,对数据挖据及故障模拟方案的设计及实施有一定的实际意义.
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| 关 键 词： | 配电网 等价类 相对平均偏差 数据挖据 故障区域 |
Algorithms for simulating fault data |
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| ZHAO Gao-chang.Algorithms for simulating fault data[J].JOurnal of XI’an University of Science and Technology,2011,31(2). |
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| Authors: | ZHAO Gao-chang |
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| Institution: | ZHAO Gao-chang(College of Sciences,Xi'an University of Science and Technology,Xi'an 710054,China) |
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| Abstract: | Put forward a series of new stable and reliable simulation algorithms for fault data based on statistical methods in order to treat typical fault symptoms that may be encountered in fault diagnosis and restoration.It can flexibly set simulation plan of various need data,establish structure combined model for simulated fault data and sum up the steps of the algorithm for actual demand.Combining two examples of electric distribution network and through equivalence partitioning distribution experiment,the resu... |
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| Keywords: | distribution network equivalence class relative average debiation data mining fault area |
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