يعرض 1 - 20 نتائج من 75 نتيجة بحث عن 'multiple lines location algorithm', وقت الاستعلام: 0.25s تنقيح النتائج
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    Power line configuration. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    500kV T-Connection transmission line. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Parameters of the system. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    S1 Fig - حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Train sample set. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Comparison of training set prediction results. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Other sample set. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Comparison of data loss test set predictions. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Random forest classification method process. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Simulation results of random fault test. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Test sample set. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Explanation of symbols or terms. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"
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    Comparison of noise impact test set predictions. حسب Yawen Zhong (2342206)

    منشور في 2023
    "…A random forest fault branch identification model is established, and it is trained and tested by the fault feature sample set of T-connection transmission line to identify the fault branch. The simulation results show that the proposed algorithm can identify the branch where the fault is located inside and outside the protection zone of T-connection transmission line quickly and accurately under various working conditions. …"