Online forecasting method for high-frequency mechanical noise of structure

A mechanical noise, high-frequency technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of inability to achieve online forecasting and long-time mechanical noise forecasting. short, precise effects

Active Publication Date: 2015-12-23
NORTHWESTERN POLYTECHNICAL UNIV
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem that the existing mechanical noise prediction takes too long and cannot realize online prediction, the present invention propose

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Online forecasting method for high-frequency mechanical noise of structure
  • Online forecasting method for high-frequency mechanical noise of structure
  • Online forecasting method for high-frequency mechanical noise of structure

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention is described below in conjunction with specific embodiments.

[0028] In this embodiment, the two-layer cylindrical shell excited by two actual devices is used as a model, figure 2 A schematic diagram of the test structure is given. In the test, the specimen is completely submerged in water, and the bottom of the inner shell is excited by two excitation devices at the same time. In the test, the vibration response of the shell structure is mainly extracted, which provides a basis for the prediction of the acoustic radiation of the model. payload data. In this embodiment, the following steps are used to complete the prediction of structural radiation sound power:

[0029] Step 1: Establish the corresponding statistical energy analysis model according to the actual double-layer structure. First, according to the basic principle of statistical energy analysis subsystem division, the model is divided into inner shell, outer shell, end plate, solid f...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an online forecasting method for high-frequency mechanical noise of a structure, and belongs to the technical field of noise forecasting. The method comprises the following steps: building a reasonable and effective constraint and load statistical energy analysis model aiming at an engineering practice structure; obtaining quality data of various stimulated sub-systems by the built statistical energy analysis model; testing vibration response data of the stimulated sub-systems through a test; calculating energy data of the stimulated sub-systems by combining the quality data with the response data; obtaining radiated sound power energy mechanical mobility data corresponding to the stimulated sub-systems according to the model; and finally calculating the radiated sound power of the structure, and finishing online forecasting. The online forecasting method has the beneficial effects that rapid calculation from load to radiated sound power is achieved by the system transfer mobility invariability; the problem of relatively long elapsed time of the traditional algorithm is solved; and rapid forecasting of mechanical noise of the structure is achieved. The online forecasting method is considerable in accuracy and relatively short in elapsed time, can be applied to the online forecasting engineering practice, and has a wide application prospect.

Description

technical field [0001] The invention relates to the technical field of noise prediction, in particular to an online prediction method for structural high-frequency mechanical noise. Background technique [0002] Statistical energy analysis extracts the research object from the population described by random parameters, ignores the specific details of the research object, and cares about the statistical average value in the time domain, frequency domain and space. The method adopts the viewpoint of energy at the same time. It provides a powerful tool for solving broadband high-frequency dynamics problems of complex systems. [0003] Statistical energy analysis can be characterized by a basic equation, that is, the power flow balance equation. The equation gives the basic statistical idea of ​​the method, and also gives the input-output relationship between the systems under this idea. [0004] In the classical statistical energy analysis theory, the system load is the extern...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F19/00
Inventor 盛美萍马建刚王敏庆郭志巍
Owner NORTHWESTERN POLYTECHNICAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products