Signal time-frequency decomposition based sound data classification method

A technology of sound data and time-frequency decomposition, which is applied in voice analysis, material analysis, and analysis of solids by using sound waves/ultrasonic waves/infrasonic waves. rate effect

Inactive Publication Date: 2018-11-27
GUANGDONG INST OF INTELLIGENT MFG
View PDF9 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The above three schemes only use the frequency domain information of the sound signal, especially the frequency domain peak value and its frequency as the basis for judging the quality of the inspected product, while the deformation and defect of the excited vibration part of the metal canned product, and The interference of random noise will affect the frequency spectrum of the sound signal generated by its vibration, which may lead to misjudgment of product quality

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
  • Signal time-frequency decomposition based sound data classification method
  • Signal time-frequency decomposition based sound data classification method
  • Signal time-frequency decomposition based sound data classification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to make the above objects, features and advantages of the present invention more comprehensible, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be pointed out that the described embodiments are only a part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all those skilled in the art can obtain without creative work. Other embodiments all belong to the protection scope of the present invention.

[0058] Please refer to figure 1 with figure 2 , the figure shows a flow chart of a sound data classification method based on signal time-frequency decomposition according to the present invention, including the following steps:

[0059] S1. For the metal canned products whose product quality has been determined, select a plurality of qualified products to train the product qua...

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 a signal time-frequency decomposition based sound data classification method. The method comprises that a detected metal tank product is excited to vibrate; sound generated byvibration of the detected project is collected and sampled to obtain a digital sound signal; the sound signal is processed to obtain a frequency spectrum signal of the sound signal; the sound signal and the frequency spectrum signal thereof are decomposed to obtain a time-domain characteristic matrix W1 and a frequency-domain characteristic W2 that can represent the product quality respectively; {W1, W2} as characteristic data of the product quality are input to a product quality calculation model for operation, and an operation result of the module refers to a product quality parameter R; anabsolute value D of a difference between R and a quality standard value delta of the qualified product is calculated; and if D is lower than a threshold T, the detected product is qualified, and otherwise, the detected product is unqualified. The quality of the metal tank product is detected on the basis of a sound emission technology, and the detection correctness is improved effectively.

Description

technical field [0001] The invention relates to the field of quality detection of metal canned products based on acoustic emission technology, and more specifically relates to a sound data classification method based on signal time-frequency decomposition. Background technique [0002] Metal cans are generally used as containers to package products, which can play a role of sealing and aesthetics, and are widely used in the food industry. However, unqualified metal canned food is likely to cause food quality problems. Once consumed by consumers, it is very easy to cause Hazardous situations such as illness or poisoning. Although almost all metal canned products are subject to quality inspection before leaving the factory, due to some products only undergoing random inspection, or missed inspections or false inspections during the full inspection process, a small number of defective products are not detected and flow to the market. Therefore, it is necessary to study an accu...

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): G10L25/51G10L25/30G10L25/18G01N29/04G01N29/12
CPCG10L25/18G10L25/30G10L25/51G01N29/04G01N29/12G01N2291/0234
Inventor 韩威周松斌刘忆森李昌刘伟鑫
Owner GUANGDONG INST OF INTELLIGENT MFG
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