Feature extraction of disturbance signal based on Hilbert-Huang transform for event recognition of Φ-OTDR
A phase-sensitive optical time-domain reflectometer (Φ-OTDR) vibration recognition method using Hilbert-Huang transform (HHT) for feature extraction is proposed. The experimental results show that the proposed method effectively recognizes the real disturbance events, and the recognition accuracy reaches 97.11% by training on a random forest (RF).
Authors
- Weifeng Shen (ORCID: https://orcid.org/0000-0002-0418-6848)
- Chuanlu Deng (ORCID: https://orcid.org/0009-0007-6497-2430)
- Wei Jin (ORCID: https://orcid.org/0000-0002-6913-8265)
- Yi Huang (ORCID: https://orcid.org/0000-0002-4381-6291)
- Lin Chen (ORCID: https://orcid.org/0000-0001-5669-680X)
- Xiaobei Zhang (ORCID: https://orcid.org/0000-0002-9228-8720)
- Chengyong Hu (ORCID: https://orcid.org/0000-0003-0026-3997)
- Ziyi Wei (ORCID: https://orcid.org/0009-0009-0603-9401)
- Jianming Tang (ORCID: https://orcid.org/0000-0002-0718-8726)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-6865-5981)
- Yi Zhang (ORCID: https://orcid.org/0000-0001-5263-5823)
- Tingyun Wang (ORCID: https://orcid.org/0000-0002-9106-3087)
- Fufei Pang
Institutions
- Shanghai University (CN)
- Bangor University (GB)
- Shanghai University of Electric Power (CN)
Publication Details
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1117/12.3062245
- Primary Topic
- Ocular and Laser Science Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00