Abstract
In order to reduce the complexity of the model and improve the accuracy of the model, and make full use of the timing information of the alarm signal. A transmission network fault diagnosis method based on time sequence and hierarchical transitional WFPN was proposed. Firstly, the existing model was improved to reduce the complexity of the model, then the time correlation characteristics of component, protection and circuit breaker were constructed, and the protection and circuit breaker that did not conform to the correlation characteristics were found by time sequence reasoning. Finally, the fault diagnosis of power network was carried out by fuzzy inference. Through the analysis of typical examples, it is found that this method improves the accuracy and fault tolerance of fault diagnosis.
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Zhao, S., Lin, X., Meng, F., Cheng, X. (2019). Title Fault Diagnosis of Transmission Network Based on Fusion of Time Sequence and Hierarchical Transitional WFPN. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2018 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 528. Springer, Singapore. https://doi.org/10.1007/978-981-13-2288-4_15
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DOI: https://doi.org/10.1007/978-981-13-2288-4_15
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