作者：
Vachkov, GanchoKagawa Univ
Fac Engn Dept Reliabil Based Informat Syst Engn Hayashi Cho 2217-20 Takamatsu Kagawa 7610396 Japan
A fault diagnosis method for complex dynamic processes and systems is proposed in the paper. It uses a special modular knowledge base, which is a collection of modules for some typical faulty and normal conditions of ...
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ISBN:
(纸本)0955301807
A fault diagnosis method for complex dynamic processes and systems is proposed in the paper. It uses a special modular knowledge base, which is a collection of modules for some typical faulty and normal conditions of the system. Each module is considered as a kind of compressed information model, which keeps in a compact form the most representative characteristics of the original data, collected for the concrete system condition. Here a modified version of the neural-gas learning algorithm for creation of all compressed information models is proposed in the paper, where a preliminary assumed number of neurons is used. the collected data from the current operation of the system are also transformed into a respective compressed information model by the same learning algorithm. the proposed fault diagnosis method is an evaluation procedure for the similarity degree between the compressed information model for the current operation and all the modules form the knowledge base. Here three different measures of similarity are used, withthe "center-of-gravity distance" showing the best results. Real experimental data taken from different operations of a hydraulic excavator are used in the paper to analyse and prove the applicability of the proposed fault diagnosis method.
this paper refers to a project for development and optimization of a clinical pathway for the Lumbar Nerve Root Compression Syndrome. A special focus is taken on computer support for pathway development and implementa...
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ISBN:
(纸本)9781586036478
this paper refers to a project for development and optimization of a clinical pathway for the Lumbar Nerve Root Compression Syndrome. A special focus is taken on computer support for pathway development and implementation. An innovative combination of "rapid prototyping" of a workflow model and a 2 level approach using round robin methods in a large group and individual semi-structured interviews is presented. the method focuses on process optimization instead of process modeling and concentrates on areas of the workflow which may be optimized. Critical parts of the optimized clinical workflow have been implemented inside a commercial electronic patient record system.
this paper presents a new approach of optimizing the efficiency of induction-motor drives through minimizing the copper and core losses. the induction-machine model, which accounts for the varying core-loss resistance...
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this paper presents a new approach of optimizing the efficiency of induction-motor drives through minimizing the copper and core losses. the induction-machine model, which accounts for the varying core-loss resistance and saturation dependent magnetizing inductance, uses natural and reference frame independent quantities as state variables. Utilization of the non-linear geometric control methodology of input-output linearization with decoupling permits the implementation of the control in the stationary reference frame. this approach eliminates the need of synchronous reference transformation and flux alignment required in classical vector control schemes. the new efficiency optimizing formulation yields a reference rotor flux, which ensures a minimum loss and yields an improved efficiency of the drive system especially when driving part load. the proposed scheme and its advantages are demonstrated both by computer simulations and some experimental results for motor speed control.
the proceedings contain 115 papers. the topics discussed include: computation with information described in natural language- the concept of generalized-constraint-based computation;wrapping multi-bond graphs: a struc...
ISBN:
(纸本)0955301807
the proceedings contain 115 papers. the topics discussed include: computation with information described in natural language- the concept of generalized-constraint-based computation;wrapping multi-bond graphs: a structured approach to modeling complex multi-body dynamics;bond graph modelling and simulation of mechatronic systems an introduction into the methodology;research and development on searching a routing path of a dynamic terrain;clustering heuristics in wireless networks: a survey;from computability to simulability;independent component analysis for radio network prediction enhancement;santa fe trail for artificial ant with simulating annealing - preliminary study;an intelligent hybrid fuzzy PID controller;and on the implementation of a transient model for an intelligent target motion analysis system.
Despite promising development in the optimization of passive control system in building structures, recent research efforts usually consider two-dimensional plane frame structures using lumped mass models. As building...
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ISBN:
(纸本)9781615670444
Despite promising development in the optimization of passive control system in building structures, recent research efforts usually consider two-dimensional plane frame structures using lumped mass models. As buildings are threedimensional in geometry, it is necessary to carry out the optimization in three dimensions rather than in two dimensions. In this study, three-dimensional building structures are represented in a more realistic pattern by using threedimensional finite element models rather than lumped mass models. Dynamic analysis of such three-dimensional finite element models added with passive damping devices is studied first. Genetic algorithm is then used to determine the optimal configuration of passive control system. A numerical example of an irregular three-dimensional building frame structure presented demonstrates that an effective computational framework for the optimization of passive control system in three-dimensional buildings is established in this study by combining the versatile genetic algorithm and efficient dynamic analysis methods.
Variable injection-pressure can be used to reduce emissions and increase engine Power. Experiments have been performed on a turbocharger diesel engine for four different injection pressures at three engine throttle po...
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ISBN:
(纸本)9077381309
Variable injection-pressure can be used to reduce emissions and increase engine Power. Experiments have been performed on a turbocharger diesel engine for four different injection pressures at three engine throttle positions. the measurements values of the engine Power and NOx emission have been investigated. In this investigation, group method of data handling (GMDH)-type neural network and evolutionary algorithms (EAs) are used for modeling of the effects of the engine speed (N), throttle-position (TP) and injection-pressure (IP) on both engine Power and NOx emission using data provided in the experiments. Employing the obtained polynomial models, multi-objective EAs are then used for Pareto-based optimization of the engine considering two conflicting objectives (engine Power and NOx).
this paper presents an algorithm to calculate the current references on line, considering the inherent nonlinear nature of the saturation effect in an interior permanent-magnet synchronous machine for the minimum-copp...
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this paper presents an algorithm to calculate the current references on line, considering the inherent nonlinear nature of the saturation effect in an interior permanent-magnet synchronous machine for the minimum-copper-loss control under the current and voltage limit of the drive system. this paper basically approaches this issue as a nonlinearly constrained optimization problem where the torque command imposes the nonlinear equality constraint and the voltage limit imposes the nonlinear inequality constraint. Depending on the operating region, it solves the corresponding set of nonlinear equations in real time derived from the Lagrange multiplier method. Newton's method among various techniques is adopted to implement the numerical solution. this scheme gives accurate results not only in motoring but also in generating operation of the machine, since the voltage drop of the stator resistance is taken into account, which is hardly applicable to a two-dimensional lookup table where the inputs are the torque command and the maximum flux amplitude, and the output is each axis current reference in the rotor reference frame. the simulation and experimental results show the feasibility and performance of the proposed technique.
A reliability-based approach for the Pareto optimum design of robust compensators for a dynamic system with probabilistic uncertainty is presented. In this way, some non-dominated optimum robust compensators in the Pa...
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ISBN:
(纸本)9789077381304
A reliability-based approach for the Pareto optimum design of robust compensators for a dynamic system with probabilistic uncertainty is presented. In this way, some non-dominated optimum robust compensators in the Pareto sense are found using four non-commensurable objective functions both in time and frequency domains based on stochastic behavior of a system with parametric uncertainties. It is shown that multi-objective Pareto optimization of such robust compensators using a recently developed diversity preserving mechanism genetic algorithm unveils some very important and informative trade-offs among these objective functions.
the paper presents the mathematical model and thermal-hydraulic analysis of CANDU Shutdown Cooling system (SDCS). the mathematical model for the SDCS equipments was developed. Initially these mathematical models were ...
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ISBN:
(纸本)9789077381304
the paper presents the mathematical model and thermal-hydraulic analysis of CANDU Shutdown Cooling system (SDCS). the mathematical model for the SDCS equipments was developed. Initially these mathematical models were coded in ACSL simulation language then have been implemented in the Modular modelingsystem (MMS) code using the CompGen tools. there are two options for the SDCS operation with different flow path configuration. Essentially, for each option, the thermal regime is time dependent but the flow regime is time independent. therefore, for the thermal-hydraulic analysis of the system two steps were used. In the first step the flow along the system pipes was determined for each operation stage withthe PIPENET code. Subsequently, in the second step, the models developed were used to predict the thermal behavior of reactor core. the results obtained for the cooling of the Primary Heat Transport system (PHTS) from 177 degrees C to 54 degrees C are presented.
this paper briefly reviews some of the most prominent systems theories from the 20th century and supports the arguments of Murray Gell-Mann who proposed the use of "plectics" instead of the overused and ambi...
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