Attention based Temporal convolutional network for ϕ-OTDR event classification

Attention based Temporal convolutional network for ϕ-OTDR event classification

2021 19th International Conference on Optical Communications and Networks (ICOCN)

10.1109/ICOCN53177.2021.9563673

http://dx.doi.org/10.1109/icocn53177.2021.9563673

Manling Tian, Hui Dong, Kuanglu Yu

deep learning

19 October 2021

Tian, M., Dong, H., Yu, K. (2021). Attention based Temporal convolutional network for ϕ-OTDR event classification. 2021 19th International Conference on Optical Communications and Networks (ICOCN). doi:10.1109/icocn53177.2021.9563673

We designed a new attention based temporal convolutional network combined with bidirectional long short term memory model named ATCN-BiLSTM for Ф-OTDR event classification, achieving average classification accuracy of 99.6% on three types of events.

Publisher Copyright

This research / project is supported by the A*STAR - GAP Funds
Grant Reference no. : ACCL/19-GAP032-R20A

1) Fundamental Research Funds for the Central Universities under Grant 2020YJS043 and Grant 2020JBM024 2) National Natural Science Foundation of China (NSFC) under Grant 61805008 3) Outstanding Chinese and Foreign Youth Exchange Program of China Association of Science and Technology.

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