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Main noise spectrum identification method for large air duct of oil and gas module

An identification method and a technology of main frequencies, which are applied in the measurement of ultrasonic/sonic/infrasonic waves, instruments, measuring devices, etc., can solve problems such as unguaranteed effects, low efficiency, and lack of pertinence, so as to ensure pertinence and purpose, The effect of improving efficiency and improving work efficiency

Pending Publication Date: 2022-05-10
BOMESC OFFSHORE ENG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At this stage, there is still a lack of an efficient and systematic process for the identification of several noise spectrum segments from different sources in the noise of large air ducts, which leads to lack of pertinence and low efficiency in subsequent noise reduction measures, and the effect cannot be guaranteed.

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  • Main noise spectrum identification method for large air duct of oil and gas module
  • Main noise spectrum identification method for large air duct of oil and gas module
  • Main noise spectrum identification method for large air duct of oil and gas module

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Embodiment Construction

[0030] The purpose of the present invention is to overcome the shortcoming of prior art, provide a kind of oil-gas module large-scale air duct main noise spectrum identification method based on correlation analysis, this method can identify the frequency spectrum segment that the noise of different sources in the large-scale air duct contains respectively, thereby can More targeted elimination of noise in the spectrum segment corresponding to a specific noise source improves the pertinence and efficiency of air duct noise reduction, and reduces the manpower and time costs of detection and noise reduction measures.

[0031] The method for identifying the noise source of the large air duct of the oil and gas module of the present invention comprises the following steps:

[0032] Step 1. Install a sound level meter at the air duct opening to obtain the time domain signal f of the air duct noise 0 (t);

[0033] Step 2: Perform a hammering experiment on the air duct wall, and use ...

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Abstract

The invention discloses an oil and gas module large-scale air duct main noise frequency spectrum identification method. The method comprises the steps of obtaining a time domain signal through a sensor and a hammering experiment, and determining the main frequency and the source of the noise through the steps of correlation analysis, frequency spectrum conversion, coherence analysis and the like. According to the method, the main frequency spectrum of the noise with different sources in the mixed noise of the large air duct is quickly identified, the efficiency of determining the noise frequency spectrum is improved, the pertinence and purposiveness when a constructor selects a noise reduction measure are ensured, and the working efficiency is improved.

Description

technical field [0001] The invention relates to a method for judging noise sources, in particular to a method for quickly identifying main noise sources of noise in a large-scale air duct of an oil-gas module. Background technique [0002] The air duct will generate a lot of noise, and the source of the noise is complex, including the vibration of the air duct wall, the noise generated by the module structure vibration, the noise caused by the pulsation of the wind pressure, the noise emitted by the fan vibration, etc., noise from different sources The range of noise spectrum segments included is also different. In order to more accurately resolve the noise from a certain noise source, it is necessary to first determine which spectrum segments the noise contains. At this stage, there is still a lack of an efficient and systematic process for the identification of several noise spectrum segments from different sources in the noise of large air ducts, which leads to lack of p...

Claims

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Application Information

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IPC IPC(8): G01H17/00G01D21/02
CPCG01H17/00G01D21/02Y02E10/72
Inventor 魏东超李涛
Owner BOMESC OFFSHORE ENG CO LTD