An online evaluation method for flash welding quality of anchor chain based on dtw and mds

Abstract

The present invention discloses an online assessment method for anchor chain flash welding quality based on DTW and MDS. 1. Establish a database E1 with a size of 2L*2L; 2. Determine whether the system has detected a new signal to be tested. Step 3: If the judgment is negative, the welding stops and the system ends the process; 3. Collect the signal to be tested; 4. Perform data preprocessing on the signal to be tested; 5. Calculate the difference between the signal to be tested and the selected 2L historical data. Similarity distance; 6, establish the dissimilarity distance matrix E2 of size 2L*1; 7, merge matrix E2 and E1, form the dissimilarity distance matrix F that size is (2L+1)*(2L+1); 8, will not The similarity distance matrix F is subjected to dimension reduction processing to be a matrix G of (2L+1)*P; 9. Perform cluster analysis on 2L+1 P-dimensional data in the matrix G; 10. Determine whether the signal to be tested is clustered as a normal signal class, if not, it is a fault signal, and the fault signal is processed; if it is, the signal to be tested belongs to a normal signal, and the normal signal is processed; 11, return to step 1 to update the database E1; the present invention can quickly and effectively identify Trouble welding products, improve production efficiency and ensure welding quality.

Description

technical field [0001] The invention belongs to the field of welding, in particular to an online evaluation method for anchor chain flash welding quality based on DTW and MDS. Background technique [0002] With the development of world shipping, people put forward higher requirements for shipping safety. As an important link to ensure the safety of shipping, the quality of the anchor chain has attracted more and more attention. Due to the advantages of high thermal efficiency, good welding quality, and stable quality of welded joints, the flash welding method is the mainstream of the high-quality anchor chain market at this stage. [0003] The flash welding process is a process that is affected by multiple parameters and the electrical environment is relatively harsh. The highly nonlinear welding process and the randomness of the continuous flash process make it very difficult to establish an accurate model for the flash welding process, so the establishment of a flash weld...

AI Technical Summary

Problems solved by technology

The disadvantage is that the welding quality evaluation model of this method is built by artificial neural network, and a large number of experiments under different environments and conditions are required to obtain sufficient sample data.

Moreover, the artificial neural network method requires a large number of online calculations, which takes a long time and requires high computer performance, so most of them are not suitable for industrial sites.

In addition, the welding quality evaluation model of this method needs to be established by conducting a large-scale welding test on each welding object before actual production. This is a static modeling method that does not take into account the observed data and the observed data at past moments ( sample data), without considering the dynamic characteristics of the system

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