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Ship classification method based on vibration noise identification

A vibration noise, classification method technology, applied in character and pattern recognition, pattern recognition in signals, instruments, etc., can solve the problems of single classification, without comprehensive consideration of energy, frequency and noise amplitude, etc., to achieve a wide range of application prospects, The effect of improving the recognition accuracy

Pending Publication Date: 2020-08-04
TIANJIN UNIV
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Problems solved by technology

The proposal of these methods proves the feasibility of Hilbert-Huang transform and its improved method for ship noise feature extraction and classification, but these methods are based on a single feature for classification, without comprehensive consideration of energy, frequency and noise amplitude and other information

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  • Ship classification method based on vibration noise identification
  • Ship classification method based on vibration noise identification
  • Ship classification method based on vibration noise identification

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Embodiment Construction

[0026] figure 1 It is a ship classification method based on vibration and noise identification of the present invention, such as figure 1 As shown, the method of this embodiment may include:

[0027] Step 1, collecting ship vibration and noise, and converting it into a time domain signal;

[0028] Step 2, carrying out improved ensemble empirical mode decomposition on the ship vibration signal;

[0029] Step 3, the signal after mode decomposition is subjected to Hilbert-Huang transformation;

[0030] Step 4, Hilbert spectrum analysis of ship radiated noise;

[0031] Step 5, ship noise feature extraction;

[0032] Step 6, utilizing a ship classifier based on a support vector machine to classify ship noise features;

[0033] Step 7. Verify the accuracy of the ship classification result. If it is correct, end the ship classification; if it is not correct, enter the ship classifier for reclassification.

[0034] Further, the ship vibration and noise collection includes: using...

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Abstract

The invention discloses a ship classification method based on vibration noise identification, and the method comprises the following steps: 1, collecting ship vibration noise, and converting the shipvibration noise into a time domain signal; 2, performing improved ensemble empirical mode decomposition on the ship vibration signals; 3, performing Hilbert-Huang transform on the signal after modal decomposition; 4, performing Hilbert spectrum analysis on ship radiation noise; 5, extracting ship noise characteristics; 6, classifying the ship noise characteristics by using a ship classifier basedon a support vector machine; 7, verifying the accuracy of the ship classification result, and if the result is correct, ending ship classification; and if not, entering the ship classifier for re-classification. The ship classification method based on vibration noise identification is realized, and a new way for marine traffic management personnel, scientific research personnel and military personnel to acquire ship types is provided.

Description

technical field [0001] The invention relates to the technical field of ship type identification, in particular to a ship classification method based on vibration and noise identification. Background technique [0002] Ship vibration and noise feature recognition is one of the most advanced topics in underwater acoustic signal processing. When a ship passes by, sonar can realize the perception, classification, tracking and positioning of the ship through the processing and identification of the ship's vibration and noise signals, which is of great significance for ensuring the safety of ship navigation, maritime traffic management, and national defense security. The generation mechanism of ship radiated noise is complex and affected by the complex marine environment, so it has non-stationary and nonlinear characteristics. Traditional signal processing methods such as time-domain waveform feature extraction, frequency-domain spectrum analysis, and time-frequency domain wavele...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/04G06F2218/08G06F2218/12
Inventor 张安民周健张佳丽张豪丁峰
Owner TIANJIN UNIV
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