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- W4313272981 abstract "Due to green building railway requirements, sound barrier, as an effective noise reduction measure, has been widely constructed. However, the sound barrier may fall off if its components are damaged or aging. It is critical to accurately detect the early faults of sound barrier. But existing technical solutions have low recognition rate and lack of real-time performance. To solve these problems, a sound barrier fault identification method based on phase-sensitive optical time-domain reflectometry (ϕ-OTDR) is proposed. We propose a novel method based on optimized multi-domain features for feature extraction and feature screening to describe intrinsic information of the vibration signal. A field experiment was carried out in the Hu-Hang Railway. A total of 405 sets of data were obtained. With the help of quadratic discriminant classifier and 5-fold cross-validation, the average recognition accuracy is 82.3% even under complex field environments." @default.
- W4313272981 created "2023-01-06" @default.
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- W4313272981 date "2022-12-29" @default.
- W4313272981 modified "2023-09-29" @default.
- W4313272981 title "Research on fault identification technology of sound barrier based on distributed optical fiber sensing (Conference Presentation)" @default.
- W4313272981 doi "https://doi.org/10.1117/12.2643963" @default.
- W4313272981 hasPublicationYear "2022" @default.
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