A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory

Xu, Wenxiang; Chen, Guo; Guo, Sen; Li, Xixing

doi:10.3390/sym11050685

Cited by 4 publications

(2 citation statements)

References 39 publications

(79 reference statements)

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“…They play a crucial role in both conceptual and detailed design phases. The manufacturing gene, also known as the quality gene [35][36][37], is applied in planning the production process, scheduling, and later stages of equipment operation and maintenance [38]. Analyzing the relationship between the different stages of the product lifecycle and the product genes is shown in Figure 1.…”

Section: Origin Of Functional Genementioning

confidence: 99%

From Biological Gene to Functional Gene: Revolutionizing Product Innovation Design

Zhang,

Ren,

Zhang

et al. 2023

Applied Sciences

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The functional gene is a product of functional information expression methods inspired by biological genes. Product innovation design is essentially a process of functional problem-solving, which has an intrinsic connection with biological gene expression. The analogy of biological genes, which standardize product function information into functional genes and apply them in product innovation design, holds enormous potential. This paper provides a comprehensive analysis of relevant literature. Firstly, it elaborates on the development of functional genes from the refinement of product genes, clarifying the relationship between functional genes and product genes. Then, it discusses the theoretical foundations of functional gene research, such as the concept, characteristics, and information transmission pathways of functional genes. Moreover, it analyzes key technologies for the application of functional genes, such as functional information encoding forms, and functional gene structure, while summarizing research case studies on functional gene applications. Finally, it explores three key challenges: determining functional gene information content, protecting intellectual property rights, and identifying defects. It also proposes research entry points, aiming to provide references for the field of product innovation design.

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Section: Origin Of Functional Genementioning

confidence: 99%

From Biological Gene to Functional Gene: Revolutionizing Product Innovation Design

Zhang,

Ren,

Zhang

et al. 2023

Applied Sciences

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“…It is affected by the cross-sectional area of the magnetic yoke and the coupling area of coupling airgaps 1. As can be seen from the above equation, the difference of small size welding quality leads to the change of physical characteristics in the magnetic circuit [16], [17], and then changes the reluctance. Therefore, the non-destructive testing of small size welds can be achieved by measuring the reluctance.…”

Section: Model Construction and Application A Model Constructionmentioning

confidence: 99%

Research on Detection Method of Small Size Weld Bead Defects Based on Reluctance Measurement

Wang

2019

IEEE Access

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To achieve non-destructive testing for small size weld beads of metal workpieces, we developed a new testing method of closed magnetic circuit reluctance measurement. According to the shape and volume of the small size weld defects of the metal workpiece, a reluctance detection model was established in the detection environment of alternating magnetic field. The relationship between different weld defects and closed magnetic circuit reluctance was quantitatively analyzed to achieve the identification of weld defects. A particle swarm optimization algorithm (PSO) was applied to optimize the cost-sensitive support vector machine (CS-SVM), which effectively reduced the coupling errors caused by the limitation of the workpiece coupling size. This new method was used to verify the weld bead detection of representative carbide saw blades. Compared with the basic support vector machine, the improved cost-sensitive support vector machine has better performance in the classification of unbalanced samples. The experimental results showed this new method can detect the weld bead of carbide saw blade with the correct rate to 98.2%. It reduced the interference of coupling error effectively. The improved cost-sensitive support vector machine not only improved the detection accuracy, but also avoided the possibility that the defective weld workpiece samples are misclassified into qualified workpieces. This study provides a guarantee for safe production and has great significance in engineering applications. The new method provides an effective solution for the application of reluctance testing technology in small size weld bead detection. INDEX TERMS Closed magnetic circuit, cost-sensitive support vector machine, coupling error, particle swarm optimization, reluctance measurement, small size weld bead.

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Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach

Guo,

Wang,

Zhang

et al. 2024

Advanced Engineering Informatics

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A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory

Cited by 4 publications

References 39 publications

From Biological Gene to Functional Gene: Revolutionizing Product Innovation Design

From Biological Gene to Functional Gene: Revolutionizing Product Innovation Design

Research on Detection Method of Small Size Weld Bead Defects Based on Reluctance Measurement

Integrated modeling for retired mechanical product genes in remanufacturing: A knowledge graph-based approach

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