Highly discriminative and adaptive feature extraction method based on NMF-MFCC for event recognition of Φ-OTDR
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- Highly discriminative and adaptive feature extraction method based on NMF-MFCC for event recognition of Φ-OTDR
Accepted author manuscript, 0.98 MB, PDF document
DOI
To enhance the capability of phase-sensitive optical time domain reflectometers (Φ-OTDR) to recognize disturbance events, an improved adaptive feature extraction method based on NMF-MFCC is proposed, which replaces the fixed filter bank used in the traditional method to extract the mel-frequency cepstral coefficient (MFCC) features by a spectral structure obtained from the Φ-OTDR signal spectrum using nonnegative matrix factorization (NMF). Three typical events on fences are set as recognition targets in our experiments, and the results show that the NMF-MFCC features have higher distinguishability, with the corresponding recognition accuracy reaching 98.47%, which is 7% higher than that using the traditional MFCC features.
| Original language | English |
|---|---|
| Pages (from-to) | 9326-9333 |
| Number of pages | 8 |
| Journal | Applied Optics |
| Volume | 62 |
| Issue number | 35 |
| Early online date | 2 Dec 2023 |
| DOIs | |
| Publication status | Published - 10 Dec 2023 |