Highly discriminative and adaptive feature extraction method based on NMF-MFCC for event recognition of Φ-OTDR.
Appl Opt
; 62(35): 9326-9333, 2023 Dec 10.
Article
en En
| MEDLINE
| ID: mdl-38108704
ABSTRACT
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.
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Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Appl Opt
Año:
2023
Tipo del documento:
Article
Pais de publicación:
Estados Unidos