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A DISTRIBUTED PROBLEM-SOLVING system FOR SHORT-TERM LOAD FORECASTING

ELECTRIC POWER systemS RESEARCH 1993年第3期26卷 219-224页

作者： CHEN, JL TSAI, RL LIANG, SS Advanced Technology Center Computer and Communication Research Laboratories Industrial Technology Research Institute Chutung Hsinchu Taiwan PRC Department of System Engineering Chung-Cheng Institute of Technology Tao-Yuan Taiwan PRC

Based on the attractive features of both distributed artificial intelligence and existing load forecasting techniques, a distributed problem solving system for short-term load forecasting is proposed. Such a distributed paradigm is a multi-agent system, each processing agent of which can compute autonomously and cooperate with other agents to reason an accurate and satisfactory solution for load forecasting. The designed load forecasting system solves problems using three basic modules: a blackboard module, knowledge sources, and a control mechanism. In addition, to achieve a high degree of accuracy in load forecasting, the existing techniques are embedded in the domain knowledge source and the root mean square error is referred to as the key driven by the constraint knowledge source. This system has been implemented by the expert system tool CLIPS in a SUN network environment and tested with practical data. It was found that the developed distributed system is a valuable tool for system operators for short-term load forecasting.

关键词： DISTRIBUTED PROBLEM SOLVING system SHORT-TERM LOAD FORECASTING BLACKBOARD system KNOWLEDGE SOURCES

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Controllability of Linear Time Varying systems: New Algebraic Criteria

Controllability of Linear Time Varying Systems: New Algebrai...

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American Control Conference (ACC)

作者： Hngo Leiva Brad Lehman Center for Dynamic. System & Noal. Studies Georgia Institute of Technology Atlanta GA USA Department of Electrical & Computer Engineering Mississippi State University MS USA

This paper presents algebraic rank conditions for the complete controllability of the system x(t) = A(t)x(t) + Bu(t) = Σ m i=1 a i (t)A i x(t) + Bu(t). x R x , u R l . Assuming A(.) is locally integrable on R, the fundamental solution of x(t) = A(t)x(t) is explicity calculated in terms of functions a i (t) for t [0,T] by using Lie algebra theory. Then by using the Cayley-Hamilton theorem, two diffierent time invariant controllability matrices are derived. Conditions for complete controllability of the above systems are derived in terms of the rank of these matrices.

关键词： Controllability Time varying systems Tellurium Gold Tin Testing Nose Silicon carbide

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An approach to the direct analysis of transient stability

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European Transactions on Electrical Power 1993年第3期3卷 241-248页

作者： Djukanovic, M.B. Sobajic, D.J. Pao, Y.‐H. Miodrag B. Djukanovic (1959) received his B.S. M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976 respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU) Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department

The Transient Energy Function (TEF) method has been intensely investigated over the last decade as a reliable and accurate tool for transient stability assessment of multimachine power systems. In this paper we propose the Potential Energy Boundary Surface (PEBS) based method for direct analysis of transient stability. The critical value of transient energy and the Critical Clearing Time (T_CCT) are evaluated without the need for successive calculation and memorization of the system kinetic and potential energy values along the sustained fault trajectory. The method is used for determination of output features in the training phase of the neural‐net based transient security assessment. The proposed approach is tested on the well‐known ten‐generator New England test system demonstrating the validity and accuracy of obtained results. Copyright © 1993 John Wiley & Sons, Ltd.

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STATISTICAL PROCESS-CONTROL FOR SOFTWARE IN THE MAINTENANCE PHASE

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NAVAL ENGINEERS JOURNAL 1993年第3期105卷 192-200页

作者： LUKE, SR JACOBS, DA REED, BM Stephen R. Luke:is a registered professional engineer in the Commonwealth of Virginia. He received his B.S. in mechanical engineering from Virginia Polytechnic Institute in 1983 and is presently pursuing a master's degree in engineering management at Old Dominion University. Mr. Luke is experienced as a test engineer at the Norfolk Naval Shipyard (1978–1989) and as a reliability/quality engineer at the Naval Undersea Warfare Center Detachment Norfolk (1989-Present). Currently he is the group leader of the RMA/QA group for the AN/SQQ-89(V) Antisubmarine Warfare System at Naval Undersea Warfare Center Detachment Norfolk. Mr. Luke is a member of ASNE IEEE (Reliability Society) and ASQC and is an ASQC certified quality engineer and reliability engineer. Derya Alasya Jacobs:is an assistant professor in the Engineering Management Department at Old Dominion University (ODU). She has a B.S. in computer science and an M.S. and Ph.D in engineering management from the University of Missouri-Rolla. Prior to joining ODU Dr. Jacobs worked as a research engineer at the Center for Technology Transfer and Economic Development at the University of Missouri-Rolla. During the same period she served as a consultant in software development for Missouri Enterprise Rolla Missouri. Dr. Jacobs' research interests are in the areas of applied artificial intelligence decision support systems operations research and computer integrated manufacturing. Billie M. Reed:is an assistant professor in the Engineering Management Department at Old Dominion University. He received a B.S. degree in mechanical engineering from Auburn University in 1971. After completing undergraduate studies Dr. Reed was commissioned as an officer in the U.S. Navy where he served in the nuclear submarine force until 1982. Following his military career Dr. Reed worked for nine years as a systems engineer and human-machine interface designer of complex interactive computer based systems for use in aircraft space and ship systems. He received his M.S. and Ph

As technology advances and our dependency on software increases, the requirement to develop the correct means to improve quality in both the deveiopment phase and the maintenance phase of software life cycle support becomes increasingly significant. The focus of this paper is on the dilemma facing software engineering in maintaining quality within the constraints of the maintenance phase. The paper further proposes that the software maintenance process can also be analvzed and improved using statistical process control (SPC) techniques. The methods discussed in this paper have been proposed for use in the Software Maintenance project at NUWC Detachment Norfolk. Upon successful testing at NUWC Detachment Norfolk, they will be forwarded to the AN/SQQ-89(V) (interagencv) Software Quality Evaluation Committee for use by other agencies which are developing and maintaining AN/SQQ-89(V) software.

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1993年 744 LNAI卷 V页

作者： Jantke, Klaus P. Kobayashi, Shigenobu Tomita, Etsuji Yokomori, Takashi Fachbereich Informatik Mathematik und Naturwissenschaften Hochschule für Technik Wirtschaft und Kultur Leipzig Postfach 66 LeipzigD-04251 Germany Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology 4259 Nagatsuta Midori-ku Yokohama227 Japan Department of Communications and System Engineering University of Electro-Communications 1-5-1 Chofugaoka ChofuTokyo182 Japan Department of Computer Science and Inform. Math University Of Electro-Communications 1-5-1 Chofugaoka ChofuTokyo182 Japan

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ACCURACY REQUIREMENTS FOR MEASUREMENT systemS WITH UNIFORM AND NORMAL ERRORS

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NAVAL ENGINEERS JOURNAL 1993年第1期105卷 66-69页

作者： SNOW, JM STUCKMAN, BE USHER, JS Jeffrey M. Snow:received his B.S. degree in mechanical engineering from the University of Washington in 1977. He has worked at Boeing Commercial Aircraft Company and Puget Sound Naval Shipyard. Since 1985 he has been at Naval Surface Warfare Center Crane Division (NSWCC). From 1987 to 1990 he was in charge of quality assurance configuration management and reliability for Aegis (SPY-1 and Mk-99) microwave tubes. He currently is in the Radar System Branch at NSWCC. He is a member of ASQC and ASME. His areas of interest include the use of statistics in process improvement efforts and objectively rating and rewarding suppliers for better quality. Bruce E. Stuckman:holds a Ph.D. degree in systems engineering from Oakland University where he also obtained M.S. and B.S. degrees in electrical and computer engineering. In 1992 Dr. Stuckman obtained his J.D. from the University of Louisville where he graduated cum laude. He is currently an associate in the patent and computer law department of Brooks & Kushman a law firm specializing in intellectual property and technology related causes. Prior to this he was an associate professor of both electrical engineering at the University of Louisville and a member of the Research Advisory Board of the South Central Bell Telecommunications Research Center. Dr. Stuckman is the author of over 75 published works in a variety of research areas including global optimization algorithms control systems communication and telecommunication systems and instrumentation electronics. He has served as a technical consultant to such organizations as Control Data Corporation General Electric General Motors Research Laboratories Gulf & Western AT&T Bell Laboratories ARCO Research and Technical Services and the U.S. Government and has been a frequent lecturer at national and international symposia. He is a senior member of IEEE and a member of ASNE Eta Kappa Nu Tau Beta Pi Sigma Xi and Phi Kappa Phi. John S. Usher Ph.D. P.E.:is an assistant professor of industrial engineering

Accuracy requirements are usually determined as a percentage of the specification range of the measured part or process. Setting accuracy requirements in this manner results in a wide and unpredictable range of false rejection and acceptance probabilities. This causes extra costs due to either: 1) over specification of measurement systems accuracy requirements;2) time, effort, retesting, and resolution of false rejections;or 3) system degradation caused by false acceptance of out-of-specification parts. Achieving a consistent and known risk of false acceptance is only possible by considering the measured process C(pk), the process's mean in relation to the center of the specification range, and the measurement system error distribution. This paper presents a method for calculating the probabilities of false rejection and false acceptance for a normal process which is measured with, alternately, uniform and normally distributed error. It is shown that under most conditions uniform error causes 20% to 30% higher false rejection and acceptance probabilities. Thus, knowledge of measurement error distribution could provide lower total production cost.

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Guest Editorial: Focus on Digital Signal Processing Techniques Applied to Space Communications

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European Transactions on Telecommunications 1993年第1期4卷 9-10页

作者： Gaudenzi, Riccardo De Elia, Carlo Harris, Robert A. Rimrdo De Gaudend was born in Rosignano Mmo Italy in 1960. He received the Doctor En- gineer degree (cum Laude) in Electronic Engineering from the University of Pisa. Italy in 1985. From 1986 he was with the European Space Agency (ESA). Stsliow and Communications Engineering Department. Darmrtadt (RFA) where he was involved in satellite telecommunication ground systems design and testing. In particular he followed the development of two new ESA's satellite tracking systems. In 1988 be joined the ESA's Research and Technology Centre (ESTEC). Noordwijk. The Netherlands where is holding a position as releeommunication enginm in the Electrical System Department. He is presently responsible for the definition and development of advanced satellite communication systems. His mull intenst b ddyrducd with effacnt digital modulation and access techniques for fued and mobile wtdlite services synchronization topics and communication systems simulation techniques. Carlo Elia (S'89) was born in Trepuzzi. Italy in 1964. He received the Doctor Engineer degree in Electronic Engineering from Politecnico di Torino. Torino. Italy. in 1989. He his now attending a Doctorate program at PolitanieO di Torino. S i 1990. he has been with the Eurpean Space Agency (ESA) in the Electrical System Department as Tdeeommunications Syrtcm Engineer. His main areas of interest are related to rdvanccd digital modulation and access techniques and channel equalization. R.A. (Bob) Harris (S'69–M'70) received the PhD from the University of Southampton. England in 1971. In 1970 he joined the European Space Agency (then ESRO). based at the European Space Research and Technology Centre (ESTEC) Noordwijk. The Netherlandswas working on telemetry and telecommand systems. Since 1978 he has been Head of the Transmision Techniques Section in the Directorate of Telecom munications. He was involved in the transmission design of the OTS ECS Olympus and European Data Relay systems. He has worked on a wide range of analogue and digital transmission topics wit

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INPUT-DEPENDENT STABILITY OF JOINT TORQUE CONTROL OF TENDON-DRIVEN ROBOT HANDS

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IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS 1992年第2期39卷 96-104页

作者： KANEKO, M PAETSCH, W TOLLE, H Department of Computer Science and System Engineering Kyushu Institute of Technology Fukuoka Japan Electrical Engineering Department Technical University of Darmstadt Darmstadt Germany

This paper discusses the input-dependent stability observed during torque control experiments using the first joint of the Darmstadt-HAND. Friction and compliance existing in tendon-sheath drive systems introduce a hysteresis nonlinearity between the joint torque output and the actuator displacement. Although this transmission characteristic is close to the well-known backlash behavior of the gears situated between a motor and a load shaft, this hysteresis loop exhibits input-dependent characteristics in the backlash region of the transmission system. The observed input-dependent characteristic shows springlike behavior within a portion of the backlash region. Through precise experiments, we confirmed that there is a close relationships between the input-dependent backlash characteristics and the input-dependent stability. Based on these experiments, we describe the transmission characteristic using a simple model and explore the system stability by using the technique of the sinusoidal-input-describing-functions (SIDF). Finally, we show a nondimensional stability-criterion-map that successfully predicts the experimental results.

关键词： Stability Torque control Actuators Fingers Friction Robot kinematics Hysteresis Service robots Orbital robotics Power transmission

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A NEW TYPE OF SUPERCONDUCTING JOURNAL BEARING USING HIGH-TC SUPERCONDUCTORS

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CRYOGENICS 1992年第7期32卷 628-633页

作者： KOMORI, M KITAMURA, T Department of Mechanical System Engineering College of Computer Science and System Engineering Kyushu Institute of Technology 680-4 Kawazu Iizuka-City Fukuoka 820 Japan

The characteristics between a set of alternating-polarity ring magnets and a superconductor are studied. The magnets have strong repulsion and attraction forces with the superconductor owing to the pinning effect. Using these characteristics a prototype of a superconducting journal bearing with a magnet shaft supported by a cylindrical housing has been developed. The superconducting journal bearing consists of a superconducting housing with four high T(c) superconductors (type-II superconductors) and a magnet shaft as the rotor of alternating-polarity ring magnets of the same size. The magnet shaft can be levitated in the centre of the housing without contact. Levitation and drag forces of the superconducting journal bearing are investigated. The levitation force shows circular hysteresis loops depending on the displacement because of the flux pinning effect. Owing to the simple and useful structure of the superconducting journal bearing it is applicable to practical devices in the industrial field.

关键词： HIGH-TC SUPERCONDUCTORS JOURNAL BEARINGS MAGNETS

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DIAGNOSTIC SUPPORT system-DESIGN FOR ARTIFICIAL-HEART CONTROL 14

DIAGNOSTIC SUPPORT SYSTEM-DESIGN FOR ARTIFICIAL-HEART CONTRO...

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14TH ANNUAL INTERNATIONAL CONF OF THE IEEE engineering IN MEDICINE AND BIOLOGY SOCIETY

作者： KITAMURA, T Department of Mechanical System Engineering College of Computer Science and System Engineering Kyushu Institute of Technology Kawatsu Iizuka-city Fukuoka 820 Japan

ISBN: (纸本)0780307852

Design of a diagnostic technique used in an intelligent support system for artificial heart control is presented. Parameters which may cause abnormal variables of the recipient of artificial hearts are searched with the use of a large dynamic model Human. The advantage of this technique is that candidates of abnormal parameters can be pointed out avoiding real-time parameter estimation whose results would be unreliable for the large scale model.

关键词： Artificial heart

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