The Experts below are selected from a list of 101826 Experts worldwide ranked by ideXlab platform
Honggoo Kang - One of the best experts on this subject based on the ideXlab platform.
-
improved time frequency trajectory excitation modeling for a statistical parametric speech synthesis system
International Conference on Acoustics Speech and Signal Processing, 2015Co-Authors: Eunwoo Song, Honggoo KangAbstract:This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the Dimensional Variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
-
ICASSP - Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system
2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2015Co-Authors: Eunwoo Song, Honggoo KangAbstract:This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the Dimensional Variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
Eunwoo Song - One of the best experts on this subject based on the ideXlab platform.
-
improved time frequency trajectory excitation modeling for a statistical parametric speech synthesis system
International Conference on Acoustics Speech and Signal Processing, 2015Co-Authors: Eunwoo Song, Honggoo KangAbstract:This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the Dimensional Variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
-
ICASSP - Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system
2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2015Co-Authors: Eunwoo Song, Honggoo KangAbstract:This paper proposes an improved time-frequency trajectory excitation (TFTE) modeling method for a statistical parametric speech synthesis system. The proposed approach overcomes the Dimensional Variation problem of the training process caused by the inherent nature of the pitch-dependent analysis paradigm. By reducing the redundancies of the parameters using predicted average block coefficients (PABC), the proposed algorithm efficiently models excitation, even if its dimension is varied. Objective and subjective test results verify that the proposed algorithm provides not only robustness to the training process but also naturalness to the synthesized speech.
Darek Ceglarek - One of the best experts on this subject based on the ideXlab platform.
-
a graph based data structure for assembly Dimensional Variation control at a preliminary phase of product design
International Journal of Computer Integrated Manufacturing, 2009Co-Authors: H. Wang, James Yang, Darek CeglarekAbstract:Dimensional quality control remains a challenge in assembly of complex products. Currently Dimensional Variation control research efforts include tolerance analysis and allocation, fixture layout design, assembly sequence planning, and others, without systematically viewing assembly as a proxy for a wide range of design decisions to produce final products with least cost, most productivity and best quality. A literature review in current assembly modelling methods shows that a unified data structure has yet to be developed at a preliminary design phase in order to design product and plan assembly process automatically. This paper serves to develop such a data structure, which captures heterogeneous product and assembly process information available at a preliminary design phase and unifies them in a data structure represented as a hierarchical graph. The graph-based data structure, on one side, facilitates automatic product design and assembly process planning at the preliminary design phase by utilising ...
-
Integrating GD&T into Dimensional Variation models for multistage machining processes
International Journal of Production Research, 2009Co-Authors: Jean-philippe Loose, Qiang Zhou, Shiyu Zhou, Darek CeglarekAbstract:Recently, the modelling of Variation propagation in multistage machining processes has drawn significant attention. In most of the recently developed Variation propagation models, the Dimensional Variation is determined through kinematic analysis of the relationships among error sources and Dimensional quality of the product, represented by homogeneous transformations of the actual location of a product's features from their nominal locations. In design and manufacturing, however, the Dimensional quality is often evaluated using Geometric Dimensioning and Tolerancing (GDT further, a numerical case study is conducted to validate the developed methods.
-
stream of Variation modeling part i a generic three Dimensional Variation model for rigid body assembly in single station assembly processes
Journal of Manufacturing Science and Engineering-transactions of The Asme, 2007Co-Authors: Wenzhen Huang, Michelle Rene Bezdecny, Zhenyu Kong, Darek CeglarekAbstract:A stream-of-Variation analysis (SOVA) model for three-Dimensional (3D) rigid-body assemblies in a single station is developed. Both product and process information, such as part and fixture locating errors, are integrated in the model. The model represents a linear relationship of the Variations between key product characteristics and key control characteristics. The generic modeling procedure and framework are provided, which involve: (1) an assembly graph (AG) to represent the kinematical constraints among parts and fixtures, (2) an unified method to transform all constraints (mating interface and fixture locators etc.) into a 3-2-1 locating scheme, and (3) a 3D rigid model for Variation flow in a single-station process. The generality of the model is achieved by formulating all these constraints with an unified generalized fixture model. Thus, the model is able to accommodate various types of assemblies and provides a building block for complex multistation assembly model, in which the interstation interactions are taken into account. The model has been verified by using Monte Carlo simulation and a standardized industrial software. It provides the basis for Variation control through tolerance design analysis, synthesis, and diagnosis in manufacturing systems.
-
kinematic analysis of Dimensional Variation propagation for multistage machining processes with general fixture layouts
IEEE Transactions on Automation Science and Engineering, 2007Co-Authors: Jean-philippe Loose, Shiyu Zhou, Darek CeglarekAbstract:Recently, the modeling of Variation propagation in complex multistage manufacturing processes has drawn significant attention. In this paper, a linear model is developed to describe the Dimensional Variation propagation of machining processes through kinematic analysis of the relationships among fixture error, datum error, machine geometric error, and the Dimensional quality of the product. The developed modeling technique can handle general fixture layouts rather than being limited to a 3-2-1 layout case. The Dimensional error accumulation and transformation within the multistage process are quantitatively described in this model. A systematic procedure to build the model is presented and validated. This model has great potential to be applied toward fault diagnosis and process design evaluation for complex machining processes. Note to Practitioners-Variation reduction is essential to improve process efficiency and product quality in order to gain a competitive advantage in manufacturing. Unfortunately, Variation reduction presents difficult challenges, particularly for large-scale modern manufacturing processes. Due to the increasing complexity of products, modern manufacturing processes often involve multiple stations or operations. For example, multiple setups and operations are often needed in machining processes to finish the final product. When the workpiece passes through multiple stages, machining errors at each stage will be accumulated onto the workpiece and could further influence the subsequent operations. The Variation accumulation and propagation pose significant challenges to final product Variation analysis and reduction. This paper focuses on a systematic technique for the modeling of Dimensional Variation propagation in multistage machining processes. The relationship between typical process faults and product quality characteristics are established through a kinematics analysis. One salient feature of the proposed technique is that the interactions among different operations with general fixture layouts are captured systematically through the modeling of setup errors. This model has great potential to be applied to fault diagnosis and process design evaluation for a complex machining process
Shiyu Zhou - One of the best experts on this subject based on the ideXlab platform.
-
Integrating GD&T into Dimensional Variation models for multistage machining processes
International Journal of Production Research, 2009Co-Authors: Jean-philippe Loose, Qiang Zhou, Shiyu Zhou, Darek CeglarekAbstract:Recently, the modelling of Variation propagation in multistage machining processes has drawn significant attention. In most of the recently developed Variation propagation models, the Dimensional Variation is determined through kinematic analysis of the relationships among error sources and Dimensional quality of the product, represented by homogeneous transformations of the actual location of a product's features from their nominal locations. In design and manufacturing, however, the Dimensional quality is often evaluated using Geometric Dimensioning and Tolerancing (GDT further, a numerical case study is conducted to validate the developed methods.
-
kinematic analysis of Dimensional Variation propagation for multistage machining processes with general fixture layouts
IEEE Transactions on Automation Science and Engineering, 2007Co-Authors: Jean-philippe Loose, Shiyu Zhou, Darek CeglarekAbstract:Recently, the modeling of Variation propagation in complex multistage manufacturing processes has drawn significant attention. In this paper, a linear model is developed to describe the Dimensional Variation propagation of machining processes through kinematic analysis of the relationships among fixture error, datum error, machine geometric error, and the Dimensional quality of the product. The developed modeling technique can handle general fixture layouts rather than being limited to a 3-2-1 layout case. The Dimensional error accumulation and transformation within the multistage process are quantitatively described in this model. A systematic procedure to build the model is presented and validated. This model has great potential to be applied toward fault diagnosis and process design evaluation for complex machining processes. Note to Practitioners-Variation reduction is essential to improve process efficiency and product quality in order to gain a competitive advantage in manufacturing. Unfortunately, Variation reduction presents difficult challenges, particularly for large-scale modern manufacturing processes. Due to the increasing complexity of products, modern manufacturing processes often involve multiple stations or operations. For example, multiple setups and operations are often needed in machining processes to finish the final product. When the workpiece passes through multiple stages, machining errors at each stage will be accumulated onto the workpiece and could further influence the subsequent operations. The Variation accumulation and propagation pose significant challenges to final product Variation analysis and reduction. This paper focuses on a systematic technique for the modeling of Dimensional Variation propagation in multistage machining processes. The relationship between typical process faults and product quality characteristics are established through a kinematics analysis. One salient feature of the proposed technique is that the interactions among different operations with general fixture layouts are captured systematically through the modeling of setup errors. This model has great potential to be applied to fault diagnosis and process design evaluation for a complex machining process
-
state space modeling of Dimensional Variation propagation in multistage machining process using differential motion vectors
International Conference on Robotics and Automation, 2003Co-Authors: Shiyu Zhou, Qiang HuangAbstract:In this paper, a state space model is developed to describe the Dimensional Variation propagation of multistage machining processes. A complicated machining system usually contains multiple stages. When the workpiece passes through multiple stages, machining errors at each stage will be accumulated and transformed onto the workpiece. Differential motion vector, a concept from the robotics field, is used in this model as the state vector to represent the geometric deviation of the workpiece. The deviation accumulation and transformation are quantitatively described by the state transition in the state space model. A systematic procedure that builds the model is presented and an experimental validation is also conducted. The validation result is satisfactory. This model has great potential to be applied to fault diagnosis and process design evaluation for complicated machining processes.
Chensong Dong - One of the best experts on this subject based on the ideXlab platform.
-
Modeling the process-induced Dimensional Variations of general curved composite components and assemblies
Composites Part A: Applied Science and Manufacturing, 2009Co-Authors: Chensong DongAbstract:Dimensional Variations are induced during the processing of composite materials. General curved components are commonly used in composite structures. Their performance is affected by the Dimensional Variations associated with the manufacturing process. This paper presents a piece-wise approach for predicting the Dimensional Variations of general curved composite components and assemblies. For a general curved composite component, it is first divided into a number of pieces of simple geometry. For each piece, the Dimensional Variation, i.e. spring-in, is calculated using the effective coefficients of thermal expansion. Based on the Dimensional Variation of each piece, the Dimensional Variations of the general curved component are calculated sequentially. This approach was validated against the finite element analysis. It shows that it offers excellent accuracy while avoiding time-consuming numerical computations. Besides general curved components, this approach can also be applied to composite assemblies. It provides the foundation for the tolerance analysis/synthesis of composites.
-
Dimensional Variation Analysis and Synthesis for Composite Components and Assemblies
Journal of Manufacturing Science and Engineering, 2005Co-Authors: Chensong Dong, Chuck Zhang, Zhiyong Liang, Ben WangAbstract:This paper presents a study on Dimensional Variations and tolerance analysis and synthesis for polymer matrix fiber-reinforced composite components and assemblies. A composite component Dimensional Variation model was developed with process simulation based on thermal stress analysis and finite element analysis (FEA). Using the FEA-based Dimensional Variation model, the deformations of typical composite structures were studied and the regression-based Dimensional Variation models were developed. The regression-based Dimensional Variation models can significantly reduce computation time and provide a quick design guide for composite products with reduced Dimensional Variations. By introducing a material modification coefficient, the comprehensive regression models can handle various fiber and resin types and stacking sequences, which eliminates the complicated, time-consuming finite element meshing and material parameter defining process. A structural tree method (STM) was developed for rapid computation of composite assembly Dimensional Variations resulting from deformations on individual components, as well as the deformation of composite components with complex shapes. With the STM and the regression-based Dimensional Variation models, rapid design optimization was conducted to reduce the Dimensional Variations of composite assemblies. Cost-tolerance functions were developed using a fuzzy multiattribute utility theory based cost-estimation method. Based on the developed Dimensional Variation and cost-tolerance models, composite assembly tolerance analysis and synthesis were performed in this study. The exploring research work presented in this paper provides a foundation for developing practical and proactive Dimensional control techniques for composite products.
-
Assembly Dimensional Variation modelling and optimization for the resin transfer moulding process
Modelling and Simulation in Materials Science and Engineering, 2004Co-Authors: Chensong Dong, Chuck Zhang, Zhiyong Liang, Ben WangAbstract:The increasing demand for composite products to be affordable, net-shaped and efficiently assembled makes tight Dimensional tolerance critical. Due to lack of accurate process models, resin transfer moulding (RTM) Dimensional analysis and control are often performed using trial-and-error approaches based on engineers' experiences or previous production data. Such approaches are limited to specific geometries and materials and often fail to achieve the required Dimensional accuracy in the final products. This paper presents an innovative study on the Dimensional Variation prediction and control for fibre reinforced polymeric matrix composites. A Dimensional Variation model was developed for process simulation based on thermal stress analysis and finite element analysis (FEA). This model was validated against experimental data, analytical solutions and data from the literature. Using the FEA-based Dimensional Variation model, the deformations of typical composite structures were studied, and a regression-based Dimensional Variation model was developed. By introducing the material modification coefficient, this comprehensive model can account for various fibre/resin types and stacking sequences. The regression-based Dimensional Variation model can significantly reduce computation time by eliminating the complicated, time-consuming finite element meshing and material parameter defining process and providing a quick design guide for composite products with reduced Dimensional Variations. The structural tree method (STM) is proposed to compute the assembly deformation from the deformations of individual components as well as the deformation of general shape composite components. The STM enables rapid Dimensional Variation analysis/synthesis for complex composite assemblies when used along with the regression-based Dimensional Variation model. The work presented here provides a foundation to develop practical Dimensional control techniques for composite products.