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Defect Detection in Industrial Soldering Processes Using Machine Learning: A Critical Literature Review

IEEE ACCESS 2025年 13卷 41533-41558页

作者： Eisentraut, Luca Hosch, Johanna Roytenberg, Maksym Benecke, Amelie Penava, Pascal Buettner, Ricardo Helmut Schmidt Univ Univ Fed Armed Forces Hamburg Chair Hybrid Intelligence D-22043 Hamburg Germany

As electrical devices take on more life-critical roles, such as in autonomous driving, ensuring the quality of solder joints during production becomes increasingly important. Recently, there has been a growing interest in using machine learning techniques for this purpose. However, current research lacks a comprehensive overview that categorizes and analyzes relevant studies based on their specific intervention points within the production process. This literature review aims to examine and evaluate research coverage along three dimensions: intervention points in the process, non-destructive testing methods, and machine learning techniques employed. For this review, 112 conference papers and journal articles published since 2010 were selected from three databases using the PRISMA methodology. These publications were classified into the three dimensions previously mentioned, summarized, and analyzed. Furthermore, the literature core is critically evaluated to identify research gaps and limitations. The analysis shows that most studies focus on solder joint control, with few addressing intervention points in solder paste and component placement. Visual imaging and neural networks are the dominant techniques for non-destructive testing and machine learning, respectively. Despite a variety of literature that uses high-performance neural networks, meeting industrial detection standards often requires tolerating high false alarm rates. The findings contribute to structuring existing research and identifying research needs, particularly in validating these systems and integrating data from various testing methods and intervention points.

关键词： Systematic literature review Soldering Defect detection Testing Quality control visualization Production Process control Inspection databases Critical literature review defect detection machine learning solder joint

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A REPORT FROM VISWEEK 2010

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COMPUTING IN SCIENCE & ENGINEERING 2011年第2期13卷 70-77页

作者： Scheidegger, Carlos Silva, Claudio T. Weiskopf, Daniel AT&T Labs Res Red Bank NJ 07701 USA Univ Utah Salt Lake City UT 84112 USA Univ Stuttgart D-7000 Stuttgart Germany

VisWeek 2010 covered the latest visualization and data analysis research and offered an excellent forum for discussing new trends in these fields.

关键词： Cognition conferences data analysis data models data visualization Visual analytics visualization conference report data analysis visual analytics

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Interactive visualization of Hyperspectral Images of Historical Documents

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2010年第6期16卷 1441-1448页

作者： Kim, Seon Joo Zhuo, Shaojie Deng, Fanbo Fu, Chi-Wing Brown, Michael S. Natl Univ Singapore Singapore Singapore Nanyang Technol Univ Singapore 639798 Singapore

This paper presents an interactive visualization tool to study and analyze hyperspectral images (HSI) of historical documents. This work is part of a collaborative effort with the Nationaal Archief of the Netherlands (NAN) and Art Innovation, a manufacturer of hyperspectral imaging hardware designed for old and fragile documents. The NAN is actively capturing HSI of historical documents for use in a variety of tasks related to the analysis and management of archival collections, from ink and paper analysis to monitoring the effects of environmental aging. To assist their work, we have developed a comprehensive visualization tool that offers an assortment of visualization and analysis methods, including interactive spectral selection, spectral similarity analysis, time-varying data analysis and visualization, and selective spectral band fusion. This paper describes our visualization software and how it is used to facilitate the tasks needed by our collaborators. Evaluation feedback from our collaborators on how this tool benefits their work is included.

关键词： Hyperspectral visualization data exploration image fusion document processing and analysis

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Narrative visualization: Telling Stories with data

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2010年第6期16卷 1139-1148页

作者： Segel, Edward Heer, Jeffrey Stanford Univ Stanford CA 94305 USA

data visualization is regularly promoted for its ability to reveal stories within data, yet these "data stories" differ in important ways from traditional forms of storytelling. Storytellers, especially online journalists, have increasingly been integrating visualizations into their narratives, in some cases allowing the visualization to function in place of a written story. In this paper, we systematically review the design space of this emerging class of visualizations: Drawing on case studies from news media to visualization research, we identify distinct genres of narrative visualization. We characterize these design differences, together with interactivity and messaging, in terms of the balance between the narrative flow intended by the author (imposed by graphical elements and the interface) and story discovery on the part of the reader (often through interactive exploration). Our framework suggests design strategies for narrative visualization, including promising under-explored approaches to journalistic storytelling and educational media.

关键词： Narrative visualization storytelling design methods case study journalism social data analysis

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Matching Visual Saliency to Confidence in Plots of Uncertain data

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2010年第6期16卷 980-989页

作者： Feng, David Kwock, Lester Lee, Yueh Taylor, Russell M., II Univ N Carolina Chapel Hill NC 27515 USA UNC Hosp Dept Radiol Chapel Hill NC USA

Conveying data uncertainty in visualizations is crucial for preventing viewers from drawing conclusions based on untrustworthy data points. This paper proposes a methodology for efficiently generating density plots of uncertain multivariate data sets that draws viewers to preattentively identify values of high certainty while not calling attention to uncertain values. We demonstrate how to augment scatter plots and parallel coordinates plots to incorporate statistically modeled uncertainty and show how to integrate them with existing multivariate analysis techniques, including outlier detection and interactive brushing. Computing high quality density plots can be expensive for large data sets, so we also describe a probabilistic plotting technique that summarizes the data without requiring explicit density plot computation. These techniques have been useful for identifying brain tumors in multivariate magnetic resonance spectroscopy data and we describe how to extend them to visualize ensemble data sets.

关键词： Uncertainty visualization brushing scatter plots parallel coordinates multivariate data

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Untangling Euler Diagrams

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IEEE TRANSACTIONS ON visualization AND COMPUTER GRAPHICS 2010年第6期16卷 1090-1099页

作者： Riche, Nathalie Henry Dwyer, Tim Microsoft Corp Redmond WA 98052 USA

In many common data analysis scenarios the data elements are logically grouped into sets. Venn and Euler style diagrams are a common visual representation of such set membership where the data elements are represented by labels or glyphs and sets are indicated by boundaries surrounding their members. Generating such diagrams automatically such that set regions do not intersect unless the corresponding sets have a non-empty intersection is a difficult problem. Further, it may be impossible in some cases if regions are required to be continuous and convex. Several approaches exist to draw such set regions using more complex shapes, however, the resulting diagrams can be difficult to interpret. In this paper we present two novel approaches for simplifying a complex collection of intersecting sets into a strict hierarchy that can be more easily automatically arranged and drawn (Figure 1). In the first approach, we use compact rectangular shapes for drawing each set, attempting to improve the readability of the set intersections. In the second approach, we avoid drawing intersecting set regions by duplicating elements belonging to multiple sets. We compared both of our techniques to the traditional non-convex region technique using five readability tasks. Our results show that the compact rectangular shapes technique was often preferred by experimental subjects even though the use of duplications dramatically improves the accuracy and performance time for most of our tasks. In addition to general set representation our techniques are also applicable to visualization of networks with intersecting clusters of nodes.

关键词： Information visualization Euler diagrams Set visualization Graph visualization

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SyncPro : A Synchronized visualization Tool for Differential analysis of Proteomics data Sets

SyncPro : A Synchronized Visualization Tool for Differential...

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IEEE International conference on Bioinformatics and Biomedicine Workshops (BIBMW)

作者： Yung, Ling Sing Yang, Chao Dakna, Mohammed Mischak, Harald Yu, Weichuan Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Hong Kong Peoples R China Mosa Diagnost & Therapeut Hannover Germany

ISBN: (纸本)9781424483044

In the comparative proteomics studies, visualization has become an emerging technique in the analysis. It provides an intuitive overview of large-scale mass spectrometry data sets with possibilities to further explore data details at different levels. While different visualization tools have already been developed, they are often designed to handle one or a few mass spectrometry data sets. Apparently, this is not enough as many proteomics studies involve many samples. It is much desired to simultaneously visualize all data sets in order to better examine data sets. In this paper, we present a visualization tool named SyncPro for differential analysis of multiple pre-processed proteomics data sets. It offers features to (i) compare many dIlta sets simultaneously;(ii) facilitate data exploration through selection and extraction;(iii) quickly judge the quality of selected features. Our proposed method further enhances the functions of existing visualization tools.

关键词： visualization Proteomics Mass Spectrometry

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Combining Visual Analytics and Content Based data Retrieval Technology for Efficient data analysis

Combining Visual Analytics and Content Based Data Retrieval ...

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14th International conference on Information Visualisation (IV)

作者： Rodrigues, Jose Fernando, Jr. Romani, Luciana A. S. Machado Traina, Agma Juci Traina, Caetano, Jr. Univ Sao Paulo Inst Ciencias Matemat & Computacao Sao Paulo Brazil Univ Fed Sao Carlos Sao Carlos SP Brazil Embrapa Agr Informat Campinas Campinas SP Brazil

ISBN: (纸本)9780769541655

. One of the most useful techniques to help visual data analysis systems is interactive filtering (brushing). However, visualization techniques often suffer from overlap of graphical items and multiple attributes complexity, making visual selection inefficient. In these situations, the benefits of data visualization are not fully observable because the graphical items do not pop up as comprehensive patterns. In this work we propose the use of content-based data retrieval technology combined with visual analytics. The idea is to use the similarity query functionalities provided by metric space systems in order to select regions of the data domain according to user-guidance and interests. After that, the data found in such regions feed multiple visualization workspaces so that the user can inspect the correspondent datasets. Our experiments showed that the methodology can break the visual analysis process into smaller problems (views) and that the views hold the expectations of the analyst according to his/her similarity query selection, improving data perception and analytical possibilities. Our contribution introduces a principle that can be used in all sorts of visualization techniques and systems, this principle can be extended with different kinds of integration visualization-metric-space, and with different metrics, expanding the possibilities of visual data analysis in aspects such as semantics and scalability.

关键词： Visual data analysis multiple views metric spaces and similarity queries

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Automatic Application of the data-State Model in data-Flow Contexts

Automatic Application of the Data-State Model in Data-Flow C...

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14th International conference on Information Visualisation (IV)

作者： Cottam, Joseph A. Lumsdaine, Andrew Indiana Univ Open Syst Lab Bloomington IN 47405 USA

ISBN: (纸本)9780769541655

The data-state and data-flow models of information visualization are known to be expressively equivalent. Each model is most effective for different combinations of analysis processes and data characteristics. visualization frameworks tend to either (1) work within a single model or (2) permit either model in separate sub-frameworks. In either case, converting between the two models falls entirely to the programmer. The theoretical basis for automatic translation between the two models was established by Chi. However, that process is insufficiently specified to be directly implemented. This paper characterizes the practical advantages of the data-state model. This is used to identify when such a transformation is beneficial. It then expands on Chi's theoretical framework to provide the tools for translating visualization program fragments from the data-flow to the data-state model. A partial implementation of the expanded theory is described for the Stencil visualization environment.

关键词： visualization Theory Automatic Translation

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visualization OF MULTI-CAHNNEL VITAL data AT ENGINE IDLING BASED ON WAVELET analysis

VISUALIZATION OF MULTI-CAHNNEL VITAL DATA AT ENGINE IDLING B...

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2010 International conference on Wavelet analysis and Pattern Recognition

作者： Yamamoto, Toru Shin, Seiichi Univ Electrocommun Dept Syst Engn Tokyo Japan

ISBN: (纸本)9781424465316

This paper presents an analysis and a visualization method of vital signals of a passenger, during engine idling. The idling signal is analyzed and suppressed in order to detect a pulse caused by heartbeats and make them visible by wavelet analysis. The measured vital signal is contaminated with an engine idling signal, and it is needed to be separated in a time-frequency band by using wavelet transformation. This paper also proposes a visualization method of 18 channel vital signals with wavelet analysis. An experiment result shows effectiveness of the proposing analysis and method.

关键词： Pulse Heartbeat Time-frequency analysis Wavelet transform visualization Idling Engine rotation

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