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THE OPTIMAL SCHEDULE TO PRODUCE A GIVEN NUMBER OF ACCEPTABLE PARTS WITH A SPECIFIED CONFIDENCE LEVEL

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 1985年第1期23卷 185-196页

作者： ARCELUS, FJ BANERJEE, PK CHANDRA, R Faculty of Administration University of New Brunswick Fredericton New Brunswick E3B 6E5 Canada Department of Mathematics and Statistics University of New Brunswick Fredericton New Brunswick E3B 6E5 Canada

This paper deals with the problem of finding the optimal schedule for producing, with a probability α, a finite numberH, of parts which have a diameter within specified tolerance limits. It is assumed that the diameter is a normally distributed variable that exhibits a linear trend in the process mean. The solution involves determining the optimal run size(s), as well as the specific number of runs of each size, required to produce at leastHparts, with probability α, at minimum cost. A solution algorithm is provided and computational experience reported.

关键词： PRODUCTION engineering PRODUCTION planning MATHEMATICAL optimization PRODUCTION scheduling computer algorithms QUALITY of products COST effectiveness PROBABILITY theory COMPUTATIONAL complexity

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Towards prognostics and health monitoring: The potential of fault detection by piezoresistive silicon stress sensor

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MICROELECTRONICS RELIABILITY 2017年 74卷 165-172页

作者： Palczynska, Alicja Prisacaru, Alexandru Gromala, Przemyslaw Jakub Han, Bongtae Mayer, Dirk Melz, Tobias Robert Bosch GmbH Reliabil Modeling & Syst Optimizat AE EDT3 D-72703 Reutlingen Germany Univ Maryland Dept Mech Engn College Pk MD 20742 USA Fraunhofer Inst Betriebsfestigkeit & Syst Zuverla D-64289 Darmstadt Germany

A piezoresistive silicon based stress sensor has been demonstrated successfully as an effective tool to monitor the stresses inside electronic packages during various production processes. More recently, the sensor has been evaluated as a sensor for Prognostics and Health Monitoring (PHM) systems. This paper presents a systematic approach that evaluates its performance from the perspective of failure mode detection. A detailed Finite Element method (FEM) model of existing test vehicles is created. The test vehicle consists of six DPAK (Discrete Package) power packages and three stress sensors. The results of simulation are verified by the signals obtained from the stress sensor as well as the supplementary warpage measurements. After inserting various failure modes into the model, statistical pattern recognition algorithms are implemented for fault detection and classification. The proposed technique can identify detectable failures during reliability testing by utilizing the database of stress sensor responses for healthy and unhealthy state. Thus, the results establish a baseline for the applicability of the piezoresistive stress sensor for an on-line monitoring PHM methodology. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： PIEZORESISTIVE devices FINITE element method FAULT diagnosis (Chemical engineering) PATTERN recognition systems computer algorithms

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Super-resolution techniques for wind turbine clutter spectrum enhancement in meteorological radars

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IET RADAR SONAR AND NAVIGATION 2011年第9期5卷 924-933页

作者： Gallardo-Hernando, B. Munoz-Ferreras, J. M. Perez-Martinez, F. Tech Univ Madrid Dept Signals Syst & Radiocommun ETSI Telecomunicac Madrid 28040 Spain Univ Alcala de Henares Dept Signal Theory & Commun Ctra Madrid Barcelona Escuela Politecn Alcala De Henares 28805 Madrid Spain

The Doppler resolution for wind turbine clutter (WTC) returns usually gets degraded when using the operational standard scanning mode of meteorological radars. Here, the use of super-resolution techniques for improving the Doppler resolution is proposed. This study concentrates on the spectral estimation based on auto-regressive coefficients and the multiple signal classification algorithm. The former usually brings to light the four components of WTC, that is, the tower and the three blades, hence outperforming the classical Fourier spectral estimation. The latter, on the contrary, may be improper for scenarios with weather returns. To derive the pertinent conclusions, both classical spectral estimation and the commented super-resolution approaches are applied to simulated and real data coming from both WTC and weather.

关键词： HIGH resolution imaging WIND turbines METEOROLOGICAL radar stations DOPPLER effect computer algorithms ESTIMATION theory SIGNAL processing

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Improved algorithm for navigation of rescue robots in underground mines

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computerS & ELECTRICAL ENGINEERING 2013年第4期39卷 1088-1094页

作者： Tian, Zijian Zhang, Liya Chen, Wei China Univ Min & Technol State Key Lab Coal Resources & Safe Min Beijing 100083 Peoples R China China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Peoples R China

Mine rescue robots play a vital role during rescues in underground mine disasters. In this paper, we propose a new navigation method by using diverse-sensor data fusion with an improved algorithm of the Neural Network Extended Kalman Filter. During this process, we take into account that a rescue's effectiveness is limited by its single navigation model. First, we utilize the Back Propagation neural network to improve the data matching level of dissimilar sensors. Second, data fusion is carried out by combining the Extended Kalman Filter and the Back Propagation neural network. By doing so, we simultaneously retrain the Back Propagation neural network with the modified error signals. The experimental analysis showed that the algorithm can effectively deal with heterogeneous data fusion. It can also improve the convergent speed and time response of the algorithm, and further improve the accuracy of navigation. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： computer algorithms MINERAL industries NEURAL networks (computer science) UTILITY theory DETECTORS KALMAN filtering SIGNAL-to-noise ratio STOCHASTIC convergence

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Fault Detection and Isolation in Inertial Measurement Units Based on χ²-CUSUM and Wavelet Packet

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MATHEMATICAL PROBLEMS IN ENGINEERING 2013年第1期2013卷 1-10页

作者： de Oliveira, Elcio Jeronimo da Fonseca, Ijar Milagre Kuga, Helio Koiti Inst Aeronaut & Space Div Space Syst BR-12228904 Sao Jose Dos Campos SP Brazil Natl Inst Space Res Space Mech & Control Div BR-12227010 Sao Jose Dos Campos SP Brazil UNINOVE Comp Sci & Prod Engn BR-01504001 Sao Paulo Brazil

The aim of this paper is to present a fault detection algorithm(FDI) based on signal processing techniques developed for an inertial measurement unit (IMU) with minimal redundancy of fiber optic gyros. In this work the recursive median filter is applied in order to remove impulses (outliers) arising from data acquisition process and parity vector operations, improving the fault detection and isolation performance. The FDI algorithmis divided into two blocks: fault detection (FD) and fault isolation (FI). The FD part of the algorithmis used to guarantee the reliability of the isolation part and is based on parity vector analysis using chi(2)-CUSUM algorithm. The FI part is performed using parity space projection of the energy subbands obtained from wavelet packet decomposition. This projection is an extension of clustering analysis based on singular value decomposition (SVD) and principal component analysis (PCA). The results of the FD and FI algorithms have shown the effectiveness of the proposed method, in which the FD algorithm is capable of indicating the low-level step bias fault with short delay and a high index of correct decisions of the FI algorithm also with low-level step bias fault.

关键词： DEBUGGING in computer science WAVELETS (Mathematics) MEDIAN filters (Electronics) PRINCIPAL components analysis FACTOR analysis computer algorithms

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Design of flexible assembly line to minimize equipment cost

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IIE TRANSACTIONS 2000年第7期32卷 585-598页

作者： Bukchin, J Tzur, M Tel Aviv Univ Fac Engn Dept Ind Engn IL-69978 Tel Aviv Israel

In this paper we develop an optimal and a heuristic algorithm for the problem of designing a flexible assembly line when several equipment alternatives are available. The design problem addresses the questions of selecting the equipment and assigning tasks to workstations, when precedence constraints exist among tasks. The objective is to minimize total equipment costs, given a pre-determined cycle time (derived from the required production rate). We develop an exact branch and bound algorithm which is capable of solving practical problems of moderate size. The algorithm's efficiency is enhanced due to the development of good lower bounds, as well as the use of some dominance rules to reduce the size of the branch and bound tree. We also suggest the use of a branch-and-bound-based heuristic procedure for large problems, and analyze the design and performance of this heuristic.

关键词： computer algorithms Heuristic Assembly line methods Industrial design Industrial engineering Operations research

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The Application of PSO-AFSA Method in Parameter Optimization for Underactuated Autonomous Underwater Vehicle Control

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MATHEMATICAL PROBLEMS IN ENGINEERING 2017年第1期2017卷 1-14页

作者： Jiang, Chunmeng Wan, Lei Sun, Yushan Li, Yueming Harbin Engn Univ Sci & Technol Underwater Vehicle Lab Harbin 150001 Heilongjiang Peoples R China

In consideration of the difficulty in determining the parameters of underactuated autonomous underwater vehicles in multi-degree-of-freedom motion control, a hybrid method that combines particle swarm optimization (PSO) with artificial fish school algorithm (AFSA) is proposed in this paper. The optimization process of the PSO-AFSA method is firstly introduced. With the control simulation models in the horizontal plane and vertical plane, the PSO-AFSA method is elaborated when applied in control parameter optimization for an underactuated autonomous underwater vehicle. Both simulation tests and field trials were carried out to prove the efficiency of the PSO-AFSA method in underactuated autonomous underwater vehicle control parameter optimization. The optimized control parameters showed admirable control quality by enabling the underactuated autonomous underwater vehicle to reach the desired states with fast convergence.

关键词： PARTICLE swarm optimization computer algorithms MATHEMATICAL optimization VERTICAL farming SIMULATION methods & models AUTONOMOUS underwater vehicles

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Randomization adaptive self-stabilization

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ACTA INFORMATICA 2010年第5-6期47卷 313-323页

作者： Dolev, Shlomi Tzachar, Nir Ben Gurion Univ Negev Dept Comp Sci IL-84105 Beer Sheva Israel

We present a scheme to convert self-stabilizing algorithms that use randomization during and following convergence to self-stabilizing algorithms that use randomization only during convergence. We thus reduce the number of random bits from an infinite number to an expected bounded number. The scheme is applicable to the cases in which there exits a local predicate for each node, such that global consistency is implied by the union of the local predicates. We demonstrate our scheme over the token circulation algorithm of Herman (Infor Process Lett 35:63-67, 1990) and the recent constant time Byzantine self-stabilizing clock synchronization algorithm by Ben-Or, Dolev and Hoch (Proceedings of the 27th Annual ACM SIGACT-SIGOPS symposium on principles of distributed computing, (PODC), 2008). The application of our scheme results in the first constant time Byzantine self-stabilizing clock synchronization algorithm that eventually stops using random bits.

关键词： computer algorithms SELF-stabilization (computer science) STOCHASTIC convergence SYNCHRONIZATION

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An embedded implementation of the Generalized Predictive Control algorithm applied to automotive active suspension systems

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computerS & ELECTRICAL ENGINEERING 2013年第2期39卷 512-529页

作者： Shoukry, Yasser El-Kharashi, M. Watheq Hammad, Sherif Ain Shams Univ Fac Engn Comp & Syst Engn Dept Cairo 11517 Egypt

The Generalized Predictive Control (GPC) algorithm relies on the solution of an optimization problem at every sampling period. Profiling shows that matrix operations consume the largest portion of the computation requirements of the algorithm. This paper presents an embedded real-time implementation of the GPC algorithm, called GPC-on-Chip, based on the state-of-the-art Customizable Advanced Processor (CAP9((TM))) technology from Atmel (R), targeting automotive active suspension systems. Our system utilizes a systolic-array based matrix co-processor in order to accelerate matrix operations. The proposed embedded system is designed to fit within the proposed platform while meeting tight real-time constraints imposed by automotive active suspension systems. In order to check the applicability of the proposed system-on-chip, it is profiled against a wide variety of GPC tuning parameters and compared against the software-only implementation. An average speedup of approximately 10x is achieved. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： EMBEDDED computer systems GENERALIZATION PREDICTIVE control computer algorithms MATHEMATICAL optimization INTEGRATED circuits SYSTEM-on-chip computer software

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Three-Dimensional Integrated Guidance and Control for Near Space Interceptor Based on Robust Adaptive Backstepping Approach

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INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING 2016年第Pt.2期2016卷 6598983.1-6598983.11页

作者： Gao, Changsheng Jiang, Chunwang Zhang, Yan Jing, Wuxing Harbin Inst Technol Sch Astronaut Harbin 150001 Peoples R China Shenyang Aircraft Design & Res Inst Shenyang 110035 Peoples R China

This study presents a novel integrated guidance and control method for near space interceptor, considering the coupling among different channels of the missile dynamics, which makes the most of the overall performance of guidance and control system. Initially, three-dimensional integrated guidance and control model is employed by combining the interceptor-target relative motion model with the nonlinear dynamics of the interceptor, which establishes a direct relationship between the interceptor-target relative motion and the deflections of aerodynamic fins. Subsequently, regarding the acceleration of the target as bounded uncertainty of the system, an integrated guidance and control algorithm is designed based on robust adaptive backstepping method, with the upper bound of the uncertainties unknown. Moreover, a nonlinear tracking differentiator is introduced to reduce the "compute explosion" caused by backstepping method. It is proved that tracking errors of the state and the upper bound of the uncertainties converge to the neighborhoods of the origin exponentially. Finally, simulations results show that, compared to the conventional guidance and control design, the algorithm proposed in this paper has greater advantages in miss distance, required normal overload, and flight stability, especially when attacking high-maneuvering targets.

关键词： Uncertainty relative motion Control Methods Integrate computer algorithms Guidance Backstepping Nonlinear Dynamics

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