The Experts below are selected from a list of 309 Experts worldwide ranked by ideXlab platform
Xin Wang - One of the best experts on this subject based on the ideXlab platform.
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a symbolic tree model for oil and gas Production prediction using time Series Production data
IEEE International Conference on Data Science and Advanced Analytics, 2016Co-Authors: Helen Pinto, Xin WangAbstract:Oil and gas well Production prediction takes place in early stages of Production to estimate future recovery. A data driven workflow is proposed in this paper to construct a symbolic tree model to predict new well Production using historic time-Series Production data of analogous wells. Production data are firstly aggregated and symbolized for dimensionality reduction and data discretization of time-Series data. A symbolic tree is constructed on time-Series symbol sequences, and pre-pruning mechanisms – minimum node size and spatial information gain – are integrated to achieve a compact and informative tree. A coverage index is used to assess the tree size. A case study was conducted applying the proposed workflow to shale gas wells in Montney-A pool in Canada. It has proved the feasibility and accuracy of the proposed method.
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DSAA - A Symbolic Tree Model for Oil and Gas Production Prediction Using Time-Series Production Data
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016Co-Authors: Helen Pinto, Xin WangAbstract:Oil and gas well Production prediction takes place in early stages of Production to estimate future recovery. A data driven workflow is proposed in this paper to construct a symbolic tree model to predict new well Production using historic time-Series Production data of analogous wells. Production data are firstly aggregated and symbolized for dimensionality reduction and data discretization of time-Series data. A symbolic tree is constructed on time-Series symbol sequences, and pre-pruning mechanisms – minimum node size and spatial information gain – are integrated to achieve a compact and informative tree. A coverage index is used to assess the tree size. A case study was conducted applying the proposed workflow to shale gas wells in Montney-A pool in Canada. It has proved the feasibility and accuracy of the proposed method.
Weidong Li - One of the best experts on this subject based on the ideXlab platform.
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The strategies of New Product Design system for Small Series Production
The 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010Co-Authors: Chen-fang Tsai, Anne James, Weidong LiAbstract:This paper addresses a need to increase competitiveness in design chains. Designers are focusing their efforts in the reduction of a number of factors: product development time, engineering change costs, and pilot run time. The approach in this study provides flexibility of New Product Design for Small Series Production. The work focuses on the use postponement design to enable quick response and cost effectiveness. The field studied is luggage design. An evaluation procedure is proposed which will adjust component specifications to increase their degree of availability and substitution. Practical simulations are applied in a luggage design center. The contribution of this work is to shorten the lead-time of design operations and to thereby reduce costs and increase competitiveness.
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CSCWD - The strategies of New Product Design system for Small Series Production
The 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010Co-Authors: Chen-fang Tsai, Anne James, Weidong LiAbstract:This paper addresses a need to increase competitiveness in design chains. Designers are focusing their efforts in the reduction of a number of factors: product development time, engineering change costs, and pilot run time. The approach in this study provides flexibility of New Product Design for Small Series Production. The work focuses on the use postponement design to enable quick response and cost effectiveness. The field studied is luggage design. An evaluation procedure is proposed which will adjust component specifications to increase their degree of availability and substitution. Practical simulations are applied in a luggage design center. The contribution of this work is to shorten the lead-time of design operations and to thereby reduce costs and increase competitiveness.
Helen Pinto - One of the best experts on this subject based on the ideXlab platform.
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a symbolic tree model for oil and gas Production prediction using time Series Production data
IEEE International Conference on Data Science and Advanced Analytics, 2016Co-Authors: Helen Pinto, Xin WangAbstract:Oil and gas well Production prediction takes place in early stages of Production to estimate future recovery. A data driven workflow is proposed in this paper to construct a symbolic tree model to predict new well Production using historic time-Series Production data of analogous wells. Production data are firstly aggregated and symbolized for dimensionality reduction and data discretization of time-Series data. A symbolic tree is constructed on time-Series symbol sequences, and pre-pruning mechanisms – minimum node size and spatial information gain – are integrated to achieve a compact and informative tree. A coverage index is used to assess the tree size. A case study was conducted applying the proposed workflow to shale gas wells in Montney-A pool in Canada. It has proved the feasibility and accuracy of the proposed method.
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DSAA - A Symbolic Tree Model for Oil and Gas Production Prediction Using Time-Series Production Data
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016Co-Authors: Helen Pinto, Xin WangAbstract:Oil and gas well Production prediction takes place in early stages of Production to estimate future recovery. A data driven workflow is proposed in this paper to construct a symbolic tree model to predict new well Production using historic time-Series Production data of analogous wells. Production data are firstly aggregated and symbolized for dimensionality reduction and data discretization of time-Series data. A symbolic tree is constructed on time-Series symbol sequences, and pre-pruning mechanisms – minimum node size and spatial information gain – are integrated to achieve a compact and informative tree. A coverage index is used to assess the tree size. A case study was conducted applying the proposed workflow to shale gas wells in Montney-A pool in Canada. It has proved the feasibility and accuracy of the proposed method.
Marcelo Ricardo Stemmer - One of the best experts on this subject based on the ideXlab platform.
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Automated Visual Inspection System for Printed Circuit Boards for Small Series Production: A Multiagent Context Approach
Developing and Applying Optoelectronics in Machine Vision, 2020Co-Authors: Alexandre Reeberg De Mello, Marcelo Ricardo StemmerAbstract:There is a crescent need to produce Printed Circuit Boards (PCB) in a customized and efficient way, therefore, there is an effort from the scientific and industrial community to improve image processing techniques for PCB inspection. The methods proposed at this chapter aim the formation of a system to inspect SMD (Surface Mounted Devices) components in a SSP (Small Series Production), ensuring a satisfactory Production quality. This way, a 3-step inspection system is proposed, formed by image preprocessing, feature extraction and evaluation components, based on characteristics related to shape, positioning and histogram of the component. The inspection machine used in this project is inserted in a cooperation among machines context, in order to provide a fully autonomous factory, coordinated by a multi-agent system. Experimental obtained results show that the proposed inspection system is suitable for the case, reaching a success rate above 89% when using actual components.
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MAS4SSP: A Multi-Agent Reference Architecture for the configuration and monitoring of Small Series Production lines
2016 12th IEEE International Conference on Industry Applications (INDUSCON), 2016Co-Authors: Mario Roloff, Cleber Jorge Amaral, Maurício Edgar Stivanello, Marcelo Ricardo StemmerAbstract:The contribution of this paper is the presentation of a new Multi-Agent Reference Architecture for the configuration and monitoring the Small Series Production lines (MAS4SSP). The approach brings, specially, flexibility and a substantial decrease of machines setup time. It proposes an architecture based on a unified, synergic and high level of abstraction solution using as reference model JaCaMo framework, which follows the Multi-Agent Oriented Programming (MAOP). The integration with the Production line is accomplished with the use of Web Service communication technology. Web Services are used in the Multi-Agent System (client side) and in the SCADA system (server side). A simple user interface was developed in Java to order batches of products, as alternative, legacy Production systems (such as ERP, PPC, MRP and so on) can be integrated by the Web Service Application Programming Interface. This model was instantiated in a controlled experiment, a small Series Production line of Printed Circuit Boards (PCB). Results and conclusions are presented in the article.
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Automated PCB inspection in small Series Production based on SIFT algorithm
2015 IEEE 24th International Symposium on Industrial Electronics (ISIE), 2015Co-Authors: Charbel Szymanski, Marcelo Ricardo StemmerAbstract:There has long been a concern to improve the techniques of image processing for PCB's inspection. However, it is noticed the focus is mainly on the inspection of PCB in mass Production. Even with a low volume of Production, the small Series Production has become increasingly relevant. This work presents an image processing pipeline for mounted PCB inspection in small Series Production, strongly based on SIFT (Scale Invariant Feature Transform) algorithm. The defect types covered are: absent, rotated/inverted, misplaced and wrong. Experiments were performed using a software developed with the proposed approach. That software runs in an automatic optical inspection machine with an industrial camera and controlled illumination. The overall accuracy of the inspections is around 80%.
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ETFA - Multiagent-based approach for the automation and quality assurance of the small Series Production
ETFA2011, 2011Co-Authors: Robert Schmitt, Marcelo Ricardo Stemmer, Alberto Pavim, Tilo Pfeifer, Jomi Fred Hübner, Mario RoloffAbstract:The dynamic conditions of global markets force manufacturers to invest in flexible Production strategies to cope with demanding clients and still survive in a competitive economic scenario. In this sense, small Series Production appears as a trend for many manufacturing niches and brings many challenges regarding manufacturing and quality assurance aspects. Investing in Production flexibility implies increasing Production control complexity and planning. This flexibility usually does not correlate with higher degrees of manufacturing automation or with quality assurance strategies. The concept of Cognitive Metrology strives for handling the challenging automation and quality inspection requirements of small Series Production with a new approach based on self-optimizing systems. This paper introduces the concepts of self-optimization and Cognitive Metrology and focuses especially on a multiagent-based approach for supporting flexible automation and quality assurance in small Series Production, as a basis for the development of the Cognitive Metrology technology. Initial results of the application of this approach into industrial prototypes are introduced and discussed as well as the migration of this system to different industrial scenarios.
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cognitive Production metrology a new concept for flexibly attending the inspection requirements of small Series Production
2010Co-Authors: Tllo Pfeifer, Marcelo Ricardo Stemmer, Robert Schmitt, Alberto Pavim, Mario Roloff, C Schneider, M DoroAbstract:The current trend for product individualisation and customer satisfaction results in a demand for smaller and flexible Production Series with a considerable diversity of components. This paper discusses the inspection requirements of small Series Production and presents the new concept of Cognitive Production Metrology (CPM) as an innovative solution to increase the manufacturing efficiency within flexible Production lines. This is intended to contribute directly to reducing the complexity of pilot Production Series, for speeding up the Production start time and assuring a maximum quality level for the process and product in dynamic environments. Fundamental tools for the conception of cognitive and autonomous quality assurance systems, such as agent-based and knowledge-based systems, as well as the use of different and combined measurement and inspection systems are introduced in an example scenario at the end.
Anna Mierau - One of the best experts on this subject based on the ideXlab platform.
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The optimised sc dipole of SIS100 for Series Production
IOP Conference Series: Materials Science and Engineering, 2017Co-Authors: Christian Roux, Pierre Schnizer, Egbert Fischer, Kei Sugita, Anna Mierau, Alexander Bleile, Florian Kaether, Boris Körber, Piotr SzwangruberAbstract:At the international facility for antiproton and ion research (FAIR) in Darmstadt, Germany, an accelerator complex is developed for fundamental research in various fields of modern physics. In the SIS100 heavy-ion synchrotron, the main accelerator of FAIR, superconducting dipoles are used to bend the particle beam. The fast ramped dipoles are 3 m long super-ferric curved magnets operated at 4.5 K. The demands on field homogeneity required for sufficient beam stability are given by ΔB/B ≤ ±6 10−4. An intense measurement program of the First of Series (FoS) dipole showed excellent quench behavior and lower than expected AC losses yielding the main load on the SIS100 cryoplant. The FoS is capable to provide a field strength of 1.9 T. However, with sophisticated measurement systems slight distortions of the dipole field were detected. Those effects were tracked down to mechanical inaccuracies of the yoke proven by appropriate geometrical measurements and simulations. After a survey on alternative fabrication techniques a magnet with a new yoke was built with substantial changes to improve the mechanical accuracy. Its characteristics concerning cryogenic losses, cold geometry and the resulting magnetic-field quality are presented and an outlook on the Series Production of superconducting dipoles for SIS100 is given.
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Design Optimization, Series Production, and Testing of the SIS100 Superconducting Magnets for FAIR
IEEE Transactions on Applied Superconductivity, 2013Co-Authors: Pierre Schnizer, Egbert Fischer, Kei Sugita, Jan Patrik Meier, Anna MierauAbstract:SIS100, the core machine of the FAIR project, is being realized now, with the dipole Series already ordered. This machine uses fast ramped superconducting dipole magnets (4 T/s, 1 Hz operation cycle), which were optimized to reduce the ac loss and to provide adequate end fields. We present the actual status of the design optimization for the superconducting main magnets as well as of the corrector magnet units. Their Series Production is now launched and the testing strategy is clarified. The key issues of ac loss minimization, hydraulic resistance, and test facility built is discussed.
