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IEEE transactions on automation science and engine...IEEE transactions on automation science and engineering 43건

  1. [해외논문]   Selective Assembly System With Unreliable Bernoulli Machines and Finite Buffers   SCI SCIE

    Ju, Feng , Li, Jingshan , Deng, Weiwen
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 171 - 184 , 2017 , 1545-5955 ,

    초록

    Selective assembly has been employed to obtain high-precision assemblies of two mating parts. Most studies only consider the case where machines are reliable and the buffer capacity is infinite. However, unreliable machines and finite buffers are commonly observed in many assembly systems, such as battery pack assemblies and powertrain production lines in the automotive industry. This paper studies a selective assembly system with two component machines, two finite buffers, and one assembly machine. Each component can exhibit different quality behaviors. Bernoulli machine reliability models are assumed. Analytical methods based on a two-level decomposition procedure are developed to evaluate the system performance efficiently. Numerical experiments suggest that the iteration always converges and can deliver high estimation accuracy. Extension to larger systems is also discussed.

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  2. [해외논문]   Quantification of Secrecy in Partially Observed Stochastic Discrete Event Systems   SCI SCIE

    Chen, Jun , Ibrahim, Mariam , Kumar, Ratnesh
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 185 - 195 , 2017 , 1545-5955 ,

    초록

    While cryptography is used to protect the content of information (e.g., a message) by making it undecipherable, behaviors (as opposed to information) may not be encrypted and may only be protected by partially or fully hiding through creation of ambiguity (by providing covers that generate indistinguishable observations from secrets). Having a cover together with partial observability does cause ambiguity about the system behaviors desired to be kept secret, yet some information about secrets may still be leaked due to statistical difference between the occurrence probabilities of the secrets and their covers. In this paper, we propose a Jensen–Shannon divergence (JSD)-based measure to quantify secrecy loss in systems modeled as partially observed stochastic discrete event systems, which quantifies the statistical difference between two distributions, one over the observations generated by secret and the other over those generated by cover. We further show that the proposed JSD measure for secrecy loss is equivalent to the mutual information between the distributions over possible observations and that over possible system status (secret versus cover). Since an adversary is likely to discriminate more if he/she observes for a longer period, our goal is to evaluate the worst case loss of secrecy as obtained in the limit over longer and longer observations. Computation for the proposed measure is also presented. Illustrative examples, including the one with side-channel attack, are provided to demonstrate the proposed computation approach.

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  3. [해외논문]   Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper   SCI SCIE

    Yue, Xiaowei , Wang, Kan , Yan, Hao , Park, Jin Gyu , Liang, Zhiyong , Zhang, Chuck , Wang, Ben , Shi, Jianjun
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 196 - 207 , 2017 , 1545-5955 ,

    초록

    Process monitoring and quality control is essential for continuous manufacturing processes of carbon nano- tube (CNT) thin sheets or buckypaper. Raman spectroscopy is an attractive inline quality characterization and quantification tool for nanomanufacturing because of its nondestructive nature, fast data acquisition speed, and ability to provide detailed material information. However, there is signal-dependent noise buried in the Raman spectra, which reduces the signal-to-noise (S/N) ratio and affects the accuracy, efficiency, and sensitivity for Raman spectrum-based quality control approaches. In this paper, a signal analysis model with signal-dependent noise for Raman spectroscopy is developed and validated based on experimental data. The wavelet shrinkage method is used for denoising and improving the S/N ratio of raw Raman spectra. Based on the validated signal-noise relationship, a novel generalized wavelet shrinkage approach is introduced to remove noise in all wavelet coefficients by applying individual adaptive wavelet thresholds. The effectiveness of this method is demonstrated using both simulation and experimental case studies of inline Raman monitoring of continuous buckypaper manufacturing. The proposed method allows for a significant reduction of Raman data acquisition time without much loss of S/N ratio, which inherently enables Raman spectroscopy for inline monitoring and control for continuous nanomanufacturing processes.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  4. [해외논문]   Dirichlet Process Gaussian Mixture Models for Real-Time Monitoring and Their Application to Chemical Mechanical Planarization   SCI SCIE

    Liu, Jia Peter , Beyca, Omer F. , Rao, Prahalad K. , Kong, Zhenyu James , Bukkapatnam, Satish T. S.
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 208 - 221 , 2017 , 1545-5955 ,

    초록

    The goal of this work is to use sensor data for online detection and identification of process anomalies (faults). In pursuit of this goal, we propose Dirichlet process Gaussian mixture (DPGM) models. The proposed DPGM models have two novel outcomes: 1) DP-based statistical process control (SPC) chart for anomaly detection and 2) unsupervised recurrent hierarchical DP clustering model for identification of specific process anomalies. The presented DPGM models are validated using numerical simulation studies as well as wireless vibration signals acquired from an experimental semiconductor chemical mechanical planarization (CMP) test bed. Through these numerically simulated and experimental sensor data, we test the hypotheses that DPGM models have significantly lower detection delays compared with SPC charts in terms of the average run length (ARL 1 ) and higher defect identification accuracies (F-score) than popular clustering techniques, such as mean shift. For instance, the DP-based SPC chart detects pad wear anomaly in CMP within 50 ms, as opposed to over 140 ms with conventional control charts. Likewise, DPGM models are able to classify different anomalies in CMP.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  5. [해외논문]   Matching Misaligned Two-Resolution Metrology Data   SCI SCIE

    Wang, Yaping , Moreno-Centeno, Erick , Ding, Yu
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 222 - 237 , 2017 , 1545-5955 ,

    초록

    Multiresolution metrology devices coexist in today’s manufacturing environment, producing coordinate measurements complementing each other. Typically, the high-resolution (HR) device produces a scarce but accurate data set, whereas the low-resolution (LR) one produces a dense but less accurate data set. Research has shown that combining the two data sets of different resolutions makes better predictions of the geometric features of a manufactured part. A challenge, however, is how to effectively match each HR data point to an LR counterpart that measures approximately the same physical location. A solution to this matching problem appears a prerequisite to a good final prediction. We solved this problem by formulating it as a quadratic integer program, aiming at minimizing the maximum interpoint distance difference among all potential correspondences. Due to the combinatorial nature of the optimization model, solving it to optimality is computationally prohibitive even for a small problem size. We therefore propose a two-stage matching framework capable of solving real-life-sized problems within a reasonable amount of time. This two-stage framework consists of downsampling the full-size problem, solving the downsampled problem to optimality, extending the solution of the downsampled problem to the full-size problem, and refining the solution using iterative local search. Numerical experiments show that the proposed approach outperforms two popular point set registration alternatives, the iterative closest point and coherent point drift methods, using different performance metrics. The numerical results also show that our approach scales much better as the instance size increases, and is robust to the changes in initial misalignment between the two data sets.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  6. [해외논문]   Precision Motion Control of Piezoelectric Nanopositioning Stage With Chattering-Free Adaptive Sliding Mode Control   SCI SCIE

    Xu, Qingsong
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 238 - 248 , 2017 , 1545-5955 ,

    초록

    This paper presents the precision motion control of a piezoelectric nanopositioning stage using a new scheme of adaptive sliding mode control with uncertainty and disturbance estimation (ASMC-UDE). One uniqueness of the reported ASMC-UDE scheme is that an inherent chattering-free control action is guaranteed by eliminating the use of discontinuous control term. The reported ASMC-UDE strategy is easy to realize because the hysteresis effect is not needed to be modeled. Instead, the hysteresis is estimated and compensated by the robust control scheme. The control scheme is applicable to a system plant with either matched or unmatched disturbances. Unlike the existing UDE-based SMC control schemes, a reference model is not required by the proposed ASMC-UDE scheme. The stability of the chattering-free SMC strategy is proved in theory under the Lyapunov framework. The superiority of the presented control scheme over conventional approaches has been confirmed through comparative experimental studies. Moreover, the robustness of the controller in the presence of model disturbance and external disturbance has been verified.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  7. [해외논문]   Online Learning Control of Hydraulic Excavators Based on Echo-State Networks   SCI SCIE

    Park, Jaemann , Lee, Bongju , Kang, Seonhyeok , Kim, Pan Young , Kim, H. Jin
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 249 - 259 , 2017 , 1545-5955 ,

    초록

    Note to Practitioners-Motivated by the fact that obtaining useful mathematical models of hydraulic excavators may be impractical or too costly, this paper proposes an online learning control technique for the position control of hydraulic excavators. The proposed control technique uses remote control valve (RCV) signals and measurements of the joint angles to learn the dynamics of the excavator in an online manner, and the RCV inputs required to track the desired trajectory are generated simultaneously. As a result of online learning, the controller compensates for the changes in the plant dynamics over time, caused by factors, such as fluid temperature change or component wear. In this paper, we have implemented and validated the proposed controller on a 21-ton class hydraulic excavator. The proposed online learning control framework can also be applied to a wide range of control applications, where a mathematical model of the plant is absent or impractical to obtain.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  8. [해외논문]   Visual–Inertial Navigation Systems for Aerial Robotics: Sensor Fusion and Technology   SCI SCIE

    Santoso, Fendy , Garratt, Matthew A. , Anavatti, Sreenatha G.
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 260 - 275 , 2017 , 1545-5955 ,

    초록

    In this paper, we comprehensively discuss the current progress of visual–inertial (VI) navigation systems and sensor fusion research with a particular focus on small unmanned aerial vehicles, known as microaerial vehicles (MAVs). Such fusion has become very topical due to the complementary characteristics of the two sensing modalities. We discuss the pros and cons of the most widely implemented VI systems against the navigational and maneuvering capabilities of MAVs. Considering the issue of optimum data fusion from multiple heterogeneous sensors, we examine the potential of the most widely used advanced state estimation techniques (both linear and nonlinear as well as Bayesian and non-Bayesian) against various MAV design considerations. Finally, we highlight several research opportunities and potential challenges associated with each technique.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults   SCI SCIE

    Cai, Baoping , Liu, Yu , Xie, Min
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 276 - 285 , 2017 , 1545-5955 ,

    초록

    Transient fault (TF) and intermittent fault (IF) of complex electronic systems are difficult to diagnose. As the performance of electronic products degrades over time, the results of fault diagnosis could be different at different times for the given identical fault symptoms. A dynamic Bayesian network (DBN)-based fault diagnosis methodology in the presence of TF and IF for electronic systems is proposed. DBNs are used to model the dynamic degradation process of electronic products, and Markov chains are used to model the transition relationships of four states, i.e., no fault, TF, IF, and permanent fault. Our fault diagnosis methodology can identify the faulty components and distinguish the fault types. Four fault diagnosis cases of the Genius modular redundancy control system are investigated to demonstrate the application of this methodology.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  10. [해외논문]   Optimized Train-Set Rostering Plan for Taiwan High-Speed Rail   SCI SCIE

    Lai, Yung-Cheng , Wang, Shao-Wei , Huang, Kwei-Long
    IEEE transactions on automation science and engineering v.14 no.1 ,pp. 286 - 298 , 2017 , 1545-5955 ,

    초록

    Railway rolling stock is one of the most expensive assets of railway operators. Efficient utilization of rolling stock is one of the most important objectives pursued in practice. This research focuses on the improvement in rolling stock rostering efficiency for high-speed rail system. According to the circulation schedule and long-term maintenance plan, the rostering planner decides the assignment between rolling stock and duties subject to a set of practical constraints. Owing to its complexity, this task remains a manual process at the Taiwan High Speed Rail Corporation. Experienced railway practitioners can generally create a good and feasible plan, but they cannot guarantee optimality of the solution considering only short-term process. In this research, we developed an exact optimization model and a heuristic method to automate this process and improve the efficiency of rolling stock utilization. Results from the case studies demonstrate that the efficiency of the rolling stock usage can be increased by $3\%\sim 4\%$ , and that the process time can be significantly reduced from hours to seconds.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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