Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks

Rapid Diagnosis of Distributed Acoustic Sensing Vibration Signals Using Mel-Frequency Cepstral Coefficients and Liquid Neural Networks

Distributed Acoustic Sensing (DAS) systems face increasing challenges in massive data processing and real-time fault diagnosis due to the growing complexity of industrial environments and data volume. To address these issues, an end-to-end diagnostic framework is developed, integrating Mel-Frequency...

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Bibliographic Details
Main Authors: Haitao Liu, Yunfan Xu, Yuefeng Qi, Haosong Yang, Weihong Bi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
distributed acoustic sensing (DAS)
vibration classification
signal compression
fault detection
industrial monitoring
MFCC
Online Access:https://www.mdpi.com/1424-8220/25/10/3090
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