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SVM-based multivariate quality diagnosis classifier for manufacturing process

A quality diagnosis and manufacturing process technology, applied in the direction of instruments, program control, comprehensive factory control, etc., can solve the problems of poor accuracy of process alarms, etc., and achieve the effect of perfect data processing, good result accuracy, and short processing time

Inactive Publication Date: 2018-05-04
SICHUAN YONGLIAN INFORMATION TECH CO LTD
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Problems solved by technology

In addition, the existing multivariable statistical process control methods have solved the problem of multivariable control to a certain extent, but the accuracy of the process alarm is not satisfactory.

Method used

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  • SVM-based multivariate quality diagnosis classifier for manufacturing process
  • SVM-based multivariate quality diagnosis classifier for manufacturing process
  • SVM-based multivariate quality diagnosis classifier for manufacturing process

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Embodiment Construction

[0023] In order to solve the deficiency of multivariate control chart in multivariate process monitoring and anomaly diagnosis, combined with Figure 1-Figure 3 The present invention has been described in detail, and its specific implementation steps are as follows:

[0024] Step 1: Collect the raw data of quality characteristics in the manufacturing process, and carry out necessary sorting, simplification and calculation of the data. The specific calculation process is as follows:

[0025] In the production process, when there is no systematic error in the process, the quality characteristic value X of the product conforms to the normal distribution; because the multivariate quality characteristic value units are not uniform, and the numerical value is also large, the data needs to be further processed;

[0026] The data matrix collected by the normal operation of the production process is X n×m , n is the number of samples, m is the number of sample quality attributes.

[...

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Abstract

Disclosed is an SVM-based multivariate quality diagnosis classifier for a manufacturing process. Original data of quality characteristics in the manufacturing process is collected and pre-processed, ahybrid algorithm is applied for conducting process analysis on multivariate quality characteristics of a key procedure, stability and anomalies are judged according to data recorded by a control chart, and a support vector machine method is applied for finding out where a source of the process anomalies is, so that a classification result is more accurate, and relaxation factors are added in an objective function by means of a Lagrangian optimization method. The classifier has the advantages that the process capability coefficient condition is strict, the judgement state is accurate, the algorithm complexity is low, the processing time is short, multivariate quality, misjudgment factors and principal component factors are integrated, the applicability is higher, parameter processing is standardized, data processing is improved, the misjudgment probability is reduced, the problems of data offset and unit inconsistency are solved, and an anomaly diagnosis technology can be achieved.

Description

technical field [0001] The invention relates to the technical field of quality diagnosis in the processing and manufacturing process of mechanical products, in particular to an SVM-based multivariate quality diagnosis classifier in the manufacturing process. Background technique [0002] In the 21st century, with the development of global economic integration, the competition in the international market is becoming increasingly fierce. Like time and cost, quality has become the main winning factor for the survival and development of enterprises. The extensive application of advanced quality methods and technologies at home and abroad is of great significance for enterprises to improve product quality and enhance product competitiveness. Good quality is the guarantee of low cost, high efficiency, low loss and high profit, and it is also the cornerstone of long-term customer loyalty and sustainable development of enterprises. Although the recent hot spots in Chinese business ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 金平艳
Owner SICHUAN YONGLIAN INFORMATION TECH CO LTD
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