Vibration of the vessel and bispectrum of hydroacoustic noise

Vračar, Miodrag S.; Kovacevic, Nenad

doi:10.2298/fupct0901045v

Cited by 2 publications

(1 citation statement)

References 1 publication

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“…Target Signal (Non-Gaussian Signal) In that field of third-order cumulant correlation estimation, bispectral features are commonly used for the detection and identification of ship radiate underwater acoustic noise and underwater acoustic transient signals according to characteristics of the non-Gaussian test of the third-order detector [18], [22], [24]- [30], [37]. [20], [31], [32] simultaneously carried out PDF modeling and analysis on the ship radiation underwater acoustic noise and the underwater acoustic transient signal by using frequency spectrum and bispectrum. The third-order characteristic skewness is also used in the construction of underwater noise PDF models in [39], [40].…”

Section: Non-gaussian Detectionmentioning

confidence: 99%

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

et al. 2023

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For the acquisition of ocean observation information, the underwater acoustic signal is the only known medium that can propagate over long distances in water. However, the underwater acoustic field environment is highly time-varying and spatially variable, and ocean acoustic observation signals are mixed Gaussian, non-cooperative, and nonlinear. Therefore, feature extraction of underwater target signals has been a challenging research direction. The high-order domain feature extraction method of ocean acoustic observation signal is widely used because of its advantages of anti-Gaussian background noise and preservation of signal phase information. Firstly, this paper analyzes three aspects, including the characteristics of ocean acoustic observation signals, the limitations of second-order domain processing methods, and advantages of high-order domain processing methods. Then, this paper focuses on theoretical advantages and application areas of signal high-order domain feature extraction technology. The technical development and application performance of common feature extraction technology in the field of ocean acoustic observation signal processing by higher-order domain methods in recent years are analyzed in the paper, and the challenges and future trends of higher-order domain feature extraction technology in marine acoustic observation signal processing are discussed in the context of recent studies.

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Section: Non-gaussian Detectionmentioning

confidence: 99%

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

et al. 2023

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Frequency Characteristic Analysis of Acoustic Emission Signals of Pipeline Leakage

Cheng

Shen

2022

Water

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The leakage detection of a water distribution system (WDS) needs the support of a large number of field data. This paper collected over 6800 leak detection signals from cast iron pipelines used in a WDS. We found that 3280 signals indicated leakage, and the remaining indicated no leakage. The characteristics of the signals were extracted and analyzed from three perspectives: the central frequency of the power spectrum, the spectral roll-off rate, and the spectral flatness. Significant statistical distributions were found. The central frequencies of the leakage signals followed the normal distribution, and their spectral roll-off rates demonstrated the Burr distribution; the Birnbaum–Saunders distribution could describe the spectral flatness of the signals. Based on these characteristics, the recognition rate of the ML model for leak detection was improved. The Random Forest model was used to classify the leakage detection signals. The recall rate was 100%, and the false positive rate was 8.27%.

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Vibration of the vessel and bispectrum of hydroacoustic noise

Cited by 2 publications

References 1 publication

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

High-Order Domain Feature Extraction Technology for Ocean Acoustic Observation Signals: A Review

Frequency Characteristic Analysis of Acoustic Emission Signals of Pipeline Leakage

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