Denoising source separation based naval vessel vibration noise source separation and recognition method

Abstract

The invention discloses a denoising source separation based naval vessel vibration noise source separation and recognition method. The method includes: firstly, utilizing a naval vessel shell structure to observe statistical independence of components included in a vibration mixed signal, and establishing a mixed model of a vibration noise source of the naval vessel shell structure; secondly, utilizing a denoising source separation method to separate the vibration mixed signal observed by the naval vessel shell structure into a plurality of independent source components; thirdly, recognizing a naval vessel vibration noise source from the independent source components by utilizing naval vessel shell structure vibration source prior information and adopting a method of time domain and frequency domain conjoint analysis. The method is stable and efficient, capable of realizing on-line analysis, reliable in results, good in real-time performance, simple and feasible, suitable for separation and recognition of vibration noise source information of equipment like naval vessels, free of damage to naval vessel structures, convenient for accurate separation and recognition of vibration noise sources of the shell-structured equipment such as existing naval vessels, and capable of providing reliable bases for naval vessel vibration damping and denoising operation.

Description

technical field [0001] The invention belongs to the field of ship vibration and noise monitoring and control, and in particular relates to a ship vibration and noise source separation and identification method based on noise reduction source separation. Background technique [0002] Ships are a weapon of national defense to defend national security and maritime rights and interests. Vibration and noise monitoring and control have important engineering value for improving the stealth performance and combat capability of ships. The ship's complex structure, numerous vibration sources, and dense space make it difficult to identify and locate vibration and noise sources, which has become a bottleneck restricting the stealth performance of ships. The vibration and noise source separation and identification technology can effectively separate and identify the radiation noise source from the radiation, vibration and noise mixed information, reveal the vibration and noise transfer c...

AI Technical Summary

Problems solved by technology

Complex signal source generation, transmission and mixing methods are the technical bottleneck of vibration and noise monitoring and control

Although the traditional finite element modeling analysis method can be used to analyze the vibration and noise of simple structures, it is difficult to be effective for ships with multiple sources coexisting and structures that are too complex, and there are large errors in actual analysis

Using input and output characteristics to analyze vibration and noise sources cannot effectively solve the complex problems of transfer and mixing mechanisms

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