Using Feature Extraction to Perform Equipment Health Monitoring on Ship-Radiated Noise
Acoustics, 2023 The current state of the art in hydroacoustics research employs a variety of feature extraction techniques with the goal of accurately classifying a ship based on its radiated noise. These techniques are capable of accuracy in excess of 95%.
Nicholas Marasco +2 more
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QiandaoEar22: a high-quality noise dataset for identifying specific ship from multiple underwater acoustic targets using ship-radiated noise [PDF]
EURASIP Journal on Advances in Signal ProcessingTarget identification of ship-radiated noise is a crucial area in underwater target recognition. However, there is currently a lack of multi-target ship datasets that accurately represent real-world underwater acoustic conditions.
Xiaoyang Du, Feng Hong
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A New Feature Extraction Method for Ship-Radiated Noise Based on Improved CEEMDAN, Normalized Mutual Information and Multiscale Improved Permutation Entropy [PDF]
Entropy, 2019 Extracting useful features from ship-radiated noise can improve the performance of passive sonar. The entropy feature is an important supplement to existing technologies for ship classification.
Zhe Chen +5 more
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Ship-Radiated Noise Separation in Underwater Acoustic Environments Using a Deep Time-Domain Network
Journal of Marine Science and EngineeringShip-radiated noise separation is critical in both military and economic domains. However, due to the complex underwater environments with multiple noise sources and reverberation, separating ship-radiated noise poses a significant challenge ...
Qunyi He +3 more
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Deep-water measurements of container ship radiated noise signatures and directionality [PDF]
The Journal of the Acoustical Society of America, 2017 Underwater radiated noise from merchant ships was measured opportunistically from multiple spatial aspects to estimate signature source levels and directionality. Transiting ships were tracked via the Automatic Identification System in a shipping lane while acoustic pressure was measured at the ships' keel and beam aspects.
Gassmann, Martin +2 more
openaire +6 more sources
Research on Feature Extraction of Ship-Radiated Noise Based on Multiscale Fuzzy Dispersion Entropy
Journal of Marine Science and Engineering, 2023 In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important ...
Yuxing Li +3 more
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Ship Radiated Noise Recognition Using Resonance-Based Sparse Signal Decomposition [PDF]
Shock and Vibration, 2017 Under the complex oceanic environment, robust and effective feature extraction is the key issue of ship radiated noise recognition. Since traditional feature extraction methods are susceptible to the inevitable environmental noise, the type of vessels ...
Jiaquan Yan +4 more
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Data augmentation and deep neural network classification based on ship radiated noise
Frontiers in Marine Science, 2023 IntroductionVarious types of ships sail at sea, and identifying maritime ship types through shipradiated noise is one of the tasks of ocean observation.
Zhuofan Xie +10 more
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Entropy, 2016 In order to solve the problem of feature extraction of underwater acoustic signals in complex ocean environment, a new method for feature extraction from ship-radiated noise is presented based on empirical mode decomposition theory and permutation ...
Yu-Xing Li +3 more
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Entropy, 2017 In view of the problem that the features of ship-radiated noise are difficult to extract and inaccurate, a novel method based on variational mode decomposition (VMD), multi-scale permutation entropy (MPE) and a support vector machine (SVM) is proposed to
Yuxing Li, Yaan Li, Xiao Chen, Jing Yu
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