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- W4312285087 abstract "Radar is known as eye of the armed forces, and its importance is self-evident. Improving the accuracy of radar condition monitoring and fault diagnosis is of great significance to military defense. Bayesian network is an uncertain causal correlation model. It can effectively express and fuse multi-source information, and has a strong ability to deal with uncertain problems. The Bayesian network model is applied to radar fault diagnosis to solve the problem caused by uncertain factors such as high integration and complexity of the system in the process of fault diagnosis. Take the T/R module fault diagnosis of radar antenna system as an example, establish the Bayesian network model, define the conditional probability tables (CPTs) based on the historical big data processing and analysis, and finally, output the most likely fault causes, which is in line with the actual results, It is realized the device level fault diagnosis, which lays a foundation for accurate fault location of radar." @default.
- W4312285087 created "2023-01-04" @default.
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- W4312285087 date "2022-09-25" @default.
- W4312285087 modified "2023-09-23" @default.
- W4312285087 title "Application of Radar Fault Diagnosis Method Based on Bayesian Network" @default.
- W4312285087 cites W2120290123 @default.
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- W4312285087 doi "https://doi.org/10.1109/icrcv55858.2022.9953236" @default.
- W4312285087 hasPublicationYear "2022" @default.
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