基于定性趋势分析的道岔故障诊断方法研究 |
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作者单位: | ;1.南京理工大学自动化学院;2.南京理工大学机械工程学院 |
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摘 要: | 道岔连接不同轨道并通常安装在两股或者多股轨道之间,不仅负责铁路线路的转换还保障线路的运营安全。随着我国轨道交通的快速发展,铁路线路和行车密度不断增长,道岔设备故障频率也日趋频繁,因此研究道岔故障诊断方法、提高诊断自动化水平具有重要现实意义。从定性的角度提出基于定性趋势分析的道岔故障诊断方法,该方法先采用区间半分法对道岔不同状态下的典型运转信号进行趋势提取,建立故障诊断知识库,之后对待诊断信号进行趋势提取,并计算其趋势序列与所有故障趋势规则的匹配度,综合比较匹配度值从而实现道岔故障诊断。实验结果表明,该方法具有良好的准确度。
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关 键 词: | 道岔 故障诊断 定性趋势分析 区间半分法 |
Research on Turnout Fault Diagnosis Method Based on Qualitative Trend Analysis |
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Affiliation: | ,School of Automation,Nanjing University of Science and Technology,School of Mechanical Engineering,Nanjing University of Science and Technology |
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Abstract: | The turnout is connected to different tracks and usually installed between two or more tracks. It is not only responsible for switching track line but also ensures operation safety. With rapid development of rail transit and continuous growing of railway lines and traffic density,the failure of turnout equipment is getting more frequent. Therefore,it is of great practical significance to study the fault diagnosis methods to improve the automatic diagnosis level. The turnout fault diagnosis method based on qualitative trend analysis is proposed. In this method,the trend of the reference operation signal in different state of the switch is extracted by using the interval-halving method,and the knowledge base of fault diagnosis is established. Then,the trend of signal to be diagnosed is extracted and the matching values of trend sequence and all fault trend rules are calculated. The matching values are finally compared comprehensively to fulfill switch fault diagnosis. The test results show that this method is of high accuracy. |
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Keywords: | Turnout Fault diagnosis Qualitative trend analysis Interval-having method |
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