Unlock instant, AI-driven research and patent intelligence for your innovation.

Discrimination method of machine tool type based on voice signal property

A sound signal and machine tool technology, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effect of easy implementation, convenient use, and low investment

Inactive Publication Date: 2008-02-27
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The Welch power spectrum and amplitude domain eigenvalues ​​of any kind of machine tool at no-load fall within a certain value range, as long as the Welch power spectrum and amplitude domain eigenvalues ​​of the sound signal of the detected machine tool are determined at no-load, the Comparing it with the characteristic values ​​of each machine tool in the known database can make a correct judgment on the type of the machine tool, but there is no report in this regard yet

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
  • Discrimination method of machine tool type based on voice signal property
  • Discrimination method of machine tool type based on voice signal property
  • Discrimination method of machine tool type based on voice signal property

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0027] The specific steps are shown in Figure 1.

[0028] a. First, use an MP3 player with an external microphone to record under laboratory conditions (no serious external noise interference, and a single device is running without load) to collect the sound signal of the machine tool when it is normally no-load, and pass the sound signal through Input the computer through the USB interface, use the Welch method in the frequency domain analysis and the amplitude analysis method in the time domain analysis to process the sound signal, obtain the above-mentioned eigenvalues ​​of the sound signal at no load, and input it into the database stand-by;

[0029] B, repeat above-mentioned steps and import the above-mentioned eigenvalues ​​of the sound signals of each machine tool that needs to be discriminated such as planer, milling machine, lathe, drilling ma...

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

A method of identifying machine type based on sound signal character picks up sound character value of machine when machine runs idly and collects sound character value of machine when it is operated at site then utilizes these two sound character values to identify out machine type used on site. The computer software control can be applied in said method for realizing automatic calculation and identification used in machine fault diagnosis.

Description

technical field [0001] The present invention relates to a method for discriminating machine tool types, in particular to a method for discriminating its characteristic values ​​by collecting and analyzing sound signals when the machine tool is unloaded, specifically a machine tool based on the characteristic values ​​of sound signals type of discrimination. Background technique [0002] At present, domestic and foreign research on the application of sound recognition technology in machining mainly includes: (1) In the process of tool wear, use the cutting sound and tool vibration signals for online detection, and find out the characteristics of abnormal signals, and then Compared with the normal signal to determine the depth of wear, the principle used is mainly acoustic emission technology; (2) Use the noise signal of chatter in metal cutting to monitor chatter to see if the detected signal exceeds a certain level. A predetermined threshold, so as to determine the degree o...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00
Inventor 左敦稳韩荣耀韩贞荣吴松黎向锋
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS