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基于模糊熵的軌道電路分路不良故障自動(dòng)預警系統設計
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西安交通工程學(xué)院

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Design of automatic early warning system for track circuit's poor bifurcation fault based on fuzzy entropy
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    摘要:

    為使預警軟件能夠準確識別軌道電路分路的不良故障行為,設計基于模糊熵的軌道電路分路不良故障自動(dòng)預警系統。設置電源電路,借助RS485轉RS232接口模塊,將電源回路與微處理器元件、顯示及報警模塊相連,完成軌道電路分路不良故障自動(dòng)預警系統硬件設計。根據熵性質(zhì)定義條件,求解模糊熵參數,以此為基礎,分析故障信號的模糊特征,完成模糊熵算法的預警原理研究。完善編碼器-解碼器結構模型,根據預警指標取值結果,界定警限區域范圍,實(shí)現軌道電路分路不良故障預警體系的建立,完成基于模糊熵的軌道電路分路不良故障自動(dòng)預警系統軟件設計。對比實(shí)驗表明,應用基于模糊熵自動(dòng)預警系統,可將非故障電壓與故障電壓之間的差值水平控制在0.05kV之內,在提升系統主機對于軌道電路分路不良故障行為的預警能力方面具有突出應用價(jià)值。

    Abstract:

    In order to make the warning software can accurately identify the bad fault behavior of track circuit, the automatic warning system of track circuit bad fault based on fuzzy entropy is designed. With the help of RS485 to RS232 interface module, the power circuit is connected with the microprocessor component, display and alarm module, and the hardware design of the automatic warning system for the track circuit's bad branch fault is completed. According to the entropy properties, the conditions are defined and the fuzzy entropy parameters are solved. Based on this, the fuzzy characteristics of fault signals are analyzed, and the early warning principle of fuzzy entropy algorithm is studied. The structure model of encoder-decoder is improved, the range of warning limit area is defined according to the value result of warning index, the early warning system of track circuit bad branch fault is established, and the software design of automatic early warning system of track circuit bad branch fault based on fuzzy entropy is completed. Comparative experiments show that the fuzzy entropy based automatic warning system can control the difference between the non-fault voltage and the fault voltage within 0.05kV, which has outstanding application value in improving the system host's early warning ability for the bad fault behavior of track circuit branching.

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肖煥麗.基于模糊熵的軌道電路分路不良故障自動(dòng)預警系統設計計算機測量與控制[J].,2023,31(3):89-94.

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歷史
  • 收稿日期:2022-08-12
  • 最后修改日期:2022-09-01
  • 錄用日期:2022-09-01
  • 在線(xiàn)發(fā)布日期: 2023-03-15
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