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EN
Warp tensions were measured while a machine was operating on a woven cotton fabric with three different woven patterns. This study was carried out with image analysis methods using a high speed camera. Three weave pattern types: plain, twill and satin were woven on the same weaving machine, and thus it could be understood how weave pattern differences affect warp tension. Each of these three weaves was woven in three weft densities: 20, 28 and 45 wefts per cm. These fabrics were able to be made on a weaving machine with an automatic dobby. It was aimed to investigate warp tension differences for three basic weave patterns while keeping all machine settings constant. The weave settings of the dobby were changed for plain, twill and satin weaves. Warp tension calculation was based on the warp elasticity theory. Warp elasticises were measured by image processing methods in MATLAB using a high-speed camera. It was aimed to improve upon the new method of warp extension measurement of fabric when the loom is in operation. It was observed that the warp tension in plain fabric was higher than for twill and satin under the same conditions.
PL
W pracy mierzono naprężenia osnowy podczas wytwarzania tkanin bawełnianych o trzech różnych wzorach. Badanie zostało przeprowadzone metodami analizy obrazu przy użyciu kamery. Na tej samej maszynie tkano trzy rodzaje wzorów splotu: gładki, diagonalny i satynowy, dzięki czemu zbadano wpływ rodzaju splotu na napięcie osnowy. Każdy z tych trzech splotów został utkany w trzech gęstościach wątku: 20, 28 i 45 wątków/cm. Celem pracy było zbadanie różnic naprężeń osnowy dla trzech podstawowych wzorów splotów, przy jednoczesnym zachowaniu stałych ustawień maszyny. Obliczenia naprężenia osnowy oparto na teorii sprężystości osnowy. Elastyczność osnowy mierzono metodami przetwarzania obrazu w programie MATLAB przy użyciu kamery. Celem badania było ulepszenie nowej metody pomiaru wydłużenia osnowy tkaniny podczas pracy krosna. Zaobserwowano, że naprężenie osnowy w tkaninie gładkiej było wyższe niż w przypadku diagonalu i satyny w tych samych warunkach.
EN
The recent rapid improvement of nautical equipment functionality allows one to better observe and predict the dangers related to seamanship. However, these new features come with added complexity, and large amounts of information can overwhelm vessel crews and fleet operation centers, and the current state-of-the-art tools cannot filter out only the most important data for a given time and location. This paper presents the concepts and the algorithms of a software suite that provides a user with problem-oriented advice about a particular risk endangering a vessel and its crew. Based on the calculated navigational dangers and their predicted development, actionable guidance is proposed in an easy-to-understand human language. The quality of good seamanship is improved by a holistic approach to vessel installation, automated fleet operation center priority queuing, and the evaluation of crew performance during simulator training and daily operations. Both the software user interface, as well as the insights provided by the algorithm, are discussed.
EN
The paper presents the design of a fuzzy controller whose task is intelligent, linguistic rule based control of thickness of the extruded polyethylene film. The structure of the fuzzy controller was developed; then, its model was built in MATLAB SIMULINK program and simulations were run to verify its performance under laboratory conditions. Based on the investigation, it can be concluded that the developed controller enables precise adjustment of polyethylene film thickness, taking into account disturbances caused by internal and external factors.
EN
The article reviews and describes the problems of the railway point heating conventional control system considering its structure, simple design, disadvantages and nonconformity. As a solution to the described problem, an innovative and advanced point heating control algorithm is proposed based on Mathlab’s Fuzzy Logic Designer module, which will allow control of heating more effectively and intellectually. The tasks for the advanced and intellectual point heating control system were set. The interdependency of different input variables and their weights of the proposed algorithm are shown and described. Conclusions show that the approach of introducing a control algorithm based on Fuzzy Logic will allow to control point heating in a more advanced and efficient way -switching on and off based on the interdependency of different weather conditions and eather forecast; the input data control system will decide automatically when to switch the heating on and off.
5
Content available remote Protection system for induction motor based on Sugeno Inference
EN
The induction motor is a most important drive in the production area. These motors are used in various industrial applications. They can be protected from the different mechanical and electrical faults using different protection systems. The protection is very important to detect abnormal motor running conditions such as over current, over voltage, overload, over temperature, and unbalance conditions. In the classical protection systems, the time delay is adjusted constantly without considering the fault level. This paper presents protection system for induction motor based on Sugeno Inference. The time delay is computed by this intelligent protection for different faults. The obtained results are interesting and show the interest of the proposed intelligent protection.
PL
W artykule zaprezentowano system zabezpieczeń silnika indukcyjnego bazujący na Sugeno Inference. Określano opóźnienie czasowe dla różnych rodzajów błędów. W stosunku do istniejących systemów proponowany system umożliwia bardziej precyzyjne określenie błędów.
6
Content available remote Processing multispectral images of the surface of biotissues using fuzzy logic
EN
The method uses multispectral image segmentation based on measuring diffuse reflection coefficients at certain wavelengths of spectral channels, solving the inverse optical problem of determining the concentrations of hemoglobin destruction products in the near-surface biotissues, filtering and segmentation of the image, calculating the relative sizes of segments and determination of damages using fuzzy logic.
PL
Metoda wykorzystuje wielospektralną segmentację obrazu opartą na pomiarze współczynników odbicia rozproszonego przy określonych długościach fali kanałów widmowych, rozwiązując odwrotny problem optyczny określania stężeń produktów niszczenia hemoglobiny w biotekstach powierzchniowych, filtrowania i segmentacji obrazu, obliczania względnych rozmiarów segmentów i określanie uszkodzeń za pomocą logiki rozmytej.
EN
The use of wind energy in water pumping is an economically viable and sustainable solution to rural communities without access to the electricity grid. The aim of this paper is to present a detailed modeling of the wind-powered pumping system, propose and compare some control schemes to optimize the performance of the system and enhance the quality of the generated power. The wind energy system used in this paper consists of a permanent magnet synchronous generator (PMSG) and static converters directly coupled to an asynchronous motor that drives a centrifugal pump. A typical control is applied to the proposed configuration for the purpose of controlling the generator to extract maximum wind power. Furthermore, four types of controllers (PI and conventional RST polynomials, adaptive RST-fuzzy and genetic algorithm are designed for the wind energy system and tested under various operating conditions.
PL
Wykorzystanie energii wiatru w pompowaniu wody jest opłacalnym i zrównoważonym rozwiązaniem dla społeczności wiejskich bez dostępu do sieci elektrycznej. Celem tego artykułu jest przedstawienie szczegółowego modelowania systemu pompowania napędzanego wiatrem, zaproponowanie i porównanie niektórych schematów sterowania, aby zoptymalizować wydajność systemu i poprawić jakość generowanej mocy. System energii wiatrowej zastosowany w tym artykule składa się z synchronicznego generatora z magnesami trwałymi (PMSG) i przekształtników statycznych bezpośrednio sprzężonych z silnikiem asynchronicznym, który napędza pompę odśrodkową. Typowe sterowanie jest stosowane do proponowanej konfiguracji w celu sterowania generatorem w celu wydobycia maksymalnej energii wiatru. Ponadto cztery typy sterowników (PI i konwencjonalne wielomiany RST, adaptacyjny algorytm rozmytego RST i genetyczny) są zaprojektowane dla systemu energii wiatrowej i testowane w różnych warunkach pracy).
8
Content available remote An analysis on induction motor reliability and lifetime estimation methods
EN
The aim of this paper is to research induction motor’s most common failures, analyze reasons and find a way to predict it. Reliability is a parameter that cannot be calculated based on induction motor parameters only. Power supply quality, detail’s defects, abnormal operation mode and other cause untimely breakings that could lead to significant losses. That is why induction motor condition monitoring is an important engineering problem that demands deep research and supervision. Due to these conditions were researched methods that allows to defining induction motor parameters and evaluate its condition.
PL
Celem artykułu jest przebadanie najczęściej spotykanych awarii silników indukcyjnych, przeanalizowanie przyczyn ich występowania oraz wypracowanie metod ich predykcji. . Niezawodność tych urządzeń nie może opierać się wyłącznie na ich parametrach. Jakość zasilania, defekty elementów, nietypowy sposób działania i inne czynniki powodują bezterminowe awarie co prowadzi do znaczących kosztów. Z tego powodu warunki monitorowania silników indukcyjnych stanowią wyzwanie dla inżynierów i wymagają poważnych badań i nadzoru. IW artykule przebadano metody, pozwalające na zdefiniowanie parametrów silnika indukcyjnego i ocenę ich odpowiedniości.
EN
This paper is aimed to study and compare the performance of four different Maximum Power Point Tracking (MPPT) techniques used to extract the maximum power from photovoltaic (PV) systems. The MPPT methods considered in this study include Perturb and Observe (PO), Fuzzy Logic Control (FLC), Sliding Mode Control (SMC) and Fuzzy Sliding Mode Control (FSMC). A PV model and DC-DC power converter are modelled in Matlab Simpower Systems toolbox and the MPPT algorithms are tested under different operating conditions to analyse the performance and limitations of each algorithm.
PL
W artykule przedstawiono porównanie właściwości czterech technik MPPT – Maximum Power Point Tracking stosowanych do sterowania systemami fotowoltaicznymi. Te cztery techniki były symulowane i analizowane w różnych warunkach pracy.
10
Content available remote Yield forecasting using artificial intelligence
EN
The article reviews and analyzes literature for application of artificial intelligence in forecasting of crop yield. Yield forecasting models were based on neural networks, fuzzy logic or hybrid solutions. When designing new yield forecasting models, analyzes of the main factors of components that are important for yield forecasting should be performed. This is to eliminate unnecessary or negligible factors for forecasting. It is also important to review the databases that will be used for forecasting. The data with unusual numerical results that differ significantly from reality should be deleted. This will improve the quality of the databases and, as a result, will give better forecasting results. In more complex cases, it would be recommended to create hybrid solutions combining neural networks and fuzzy logic to combine the advantages of both solutions.
PL
W artykule wykonano przegląd i analizę literatury dla zastosowań sztucznej inteligencji przy prognozowaniu plonów. Modele prognozowania plonów były oparte o sieci neuronowe, logikę rozmytą lub rozwiązania hybrydowe. Przy projektowaniu nowych modeli prognozowania plonów należy przeprowadzić analizy głównych składowych czynników, które są istotne dla prognozowania plonu. Ma to na celu eliminację czynników zbędnych lub mało znaczących dla prognozowania. Istotne jest również dokonanie przeglądu baz danych, które zostaną wykorzystane do prognozowania.
EN
The article includes presentation of fuzzy numbers application in projects prioritizing at manufacturing and service providing enterprises. The following criteria have been applied as a basis for projects prioritizing analysis in enterprise: NPV index, linked with the enterprise strategic aims, project execution cost, project time, project scope and risk. As the criteria selected were of measurable and non-measurable character in projects prioritizing evaluation, the fuzzy decision making system has been developed, in which a linguistic value has been defined for each criterion of projects prioritizing. Knowledge base has been developed afterwards, presenting cause-effect dependencies in projects prioritizing. Knowledge base consisted of conditional rules. Fuzzy system of decision making in project prioritizing has been developed in MATLAB application. The decision making fuzzy system established, constitutes an efficient tool for projects prioritizing, on the basis of criteria given and concluding system developed. The obtained analysis results provide basis for the decision making parties to set the projects execution sequences.
EN
In this article, a novel nature-inspired autonomous guidance is investigated regarding the honey bee motion algorithm for aerial robots and fuzzy logic. Combination of the bee al- gorithm and fuzzy logic is proposed to achieve an on-line guidance for methodology of this research. The main idea of this work belongs to a novel analogy between honey bees and aerial robots motions. Moreover, information links between the aerial robots are demon- strated to construct a formation of vehicles by updating motions based on fuzzy decision making. Three dimensional simulations for the aerial robots are considered to show the ef- ficient performance of autonomous guidance. The simulation results show precise ability of the proposed method for aerospace and robotics engineers based on a nature phenomenon to present an innovative guidance method.
EN
In general, this paper focuses on finding the best configuration for PSO and GA, using the different migration blocks, as well as the different sets of the fuzzy systems rules. To achieve this goal, two optimization algorithms were configured in parallel to be able to integrate a migration block that allow us to generate diversity within the subpopulations used in each algorithm, which are: the particle swarm optimization (PSO) and the genetic algorithm (GA). Dynamic parameter adjustment was also performed with a fuzzy system for the parameters within the PSO algorithm, which are the following: cognitive, social and inertial weight parameter. In the GA case, only the crossover parameter was modified.
EN
The use of Multi Agents Systems (MAS), Cloud Computing (CC) and Fuzzy Inference System (FIS) in e-commerce has increased in recent years. The purpose of these systems is to enable users of electronic markets to make transactions in the best conditions and to help them in their decisions. The design and implementation is often characterized by the constant manipulation of information, many of which are imperfect. The use of the multi-agent paradigm for the realization of these systems implies the need to integrate mechanisms that take into account the processing of fuzzy information. This makes it necessary to design multi-agent systems (MAS) with fuzzy characteristics. For the modeling and realization of this system, we chose to use the FMAS model. This paper deals with the presentation of the use of the Fuzzy MAS model for the development of a management and decision support application in a virtual market with high availability. After the presentation of the system to be realized in the first section, we describe in the second section the application of the model FMAS for the design and the realization of this system. We then specify the JADE implementation platform and how the fuzzy agents of our model (Expert, Choice and Query) can be implemented using this platform.
EN
The information technologies for assessing the quality of IT-specialties graduates' training of university by means of fuzzy logic and neural networks are developed in the article. It makes possible taking into account a wide set of estimation and output parameters, influence of the external and internal factors and allows to simplify the assessing process by means of modern mathematical apparatuses of artificial intelligence.
PL
Artykuł przedstawia wprowadzenie oraz podstawy teoretyczne teorii zbiorów rozmytych, czyli działu matematyki opracowanego do opisu danych i informacji nieprecyzyjnych i niejednoznacznych. Logika rozmyta stanowi dział tej teorii i znajduje swoje zastosowanie w takich dziedzinach, jak: sterowanie, optymalizacja, wspomaganie podejmowania decyzji, diagnostyka i monitorowanie, rozpoznawanie wzorców i wielu innych. Przedstawione rozważania poszerzono również o przykładowe zastosowania logiki rozmytej, m.in. w elektrometrii i grzejnictwie, sterowaniu urządzeń chłodniczych, mechanicznych dysków twardych, przetwarzaniu obrazów i rozpoznawaniu słów.
EN
Given is an introduction and theoretical foundations of a fuzzy set theory i.e. the branch of mathematics developed for description of imprecise and ambiguous data and informations. Fuzzy logic is a subject area of this theory and is applied in such fields like control, optimization, decision making support, diagnostics and monitoring, pattern recognition and many others. Presented considerations are also extended by exemplary applications of the fuzzy logic i.a. in electrometry and heating, cooling devices control, mechanical hard disks, image processing and word recognition.
EN
Recently, the reduction of fuels consumption is a global challenge, in particular for significant investments in the automotive sector, in order to optimize and control the parameters involved for the partial or total electrification of vehicles. Thereby, the energy management system remains the axis of progress for the development of fuel cell hybrid electric vehicles. The fuzzy controller has been widely adopted for energy monitoring, where the determination of its parameters is still challenging. In this work, this problem is investigated through a secondary development of a fuzzy energy monitoring system based on the Advisor platform and particle swarm optimization. The latter is used to determine, for different driving conditions, the best parameters that increase the fuel economy and reduce the battery energy use. As a result, five tuned fuzzy energy monitoring system models with five sets of parameters are obtained. Evaluation results confirm the effectiveness of this strategy, they also show slight differences between them in terms of fuel economy, battery state of charge variations, and overall system efficiency. However, the fuzzy energy monitoring system tuned under multiple conditions is the only one that can guarantee the minimum of the state of charge variations, no matter the driving conditions.
EN
The use of new technologies in modern industry improves productivity but induces complexity in the industrial system. This complexity makes it vulnerable to faults, which requires significant expense in terms of safety, reliability and availability. Indeed, a diagnostic operation is essential for the operational safety and availability of these industrial systems. This diagnostic operation is based on two important functions which are the detection and localization of anomalies, which consists to verifying the consistency of the data taken in real time from the installation with a reliable model, to ensure the good performance of the monitoring system. Hence, the diagnosis of gas turbines is a main component for making maintenance decisions for this type of machine. In this paper, the faults detection approach based on fuzzy logic is applied for the vibrations monitoring of a gas turbine, in order to monitor their operating state by including the detection and occurrence of vibration faults, thus using determined fault indicators based on the input/output variables of the examined gas turbine. In this work, the investigation results of fuzzy fault detection approach applied on gas turbine vibration are presented, based on the actual data recorded in the different gas turbine operating modes. However, analysis of the defect detection results was performed in order to determine the influence of these vibration defects on the deferent operating modes of the examined machine. This makes it possible to find the causes of failures and then to deduce the actions to follow the operational safety of the examined turbine.
EN
The article introduces a new proposal of a def uzzification method, which can be implemented in fuzzy controllers. The first chapter refers to the origin of fuzzy sets. Next, a modern development based on this theory is presented in the form of ordered fuzzy numbers (OFN). The most important characteristics of ordered fuzzy numbers are also presented. In the following chapter, details about the defuzzification process are given as part of the fuzzy controller model. Then a new method of defuzzification is presented. The method is named center of circles intersection (CCI). The authors compare this method with a similar geometric solution: triangular expanding (TE) and geometric mean (GM). Also, the results are compared with other methods such as center of gravity (COG), first of maxima (FOM) and last of maxima (LOM). The analysis shows that the proposed solution works correctly and provides results for traditional fuzzy numbers as well as directed fuzzy numbers. The last chapter contains a summary, in which more detailed conclusions are provided and further directions of research are indicated.
EN
The main aspect of this research was to predict the drape parameters and describe clearly the drape phenomenon using fuzzy logic method. Forecasting features allow manufacturers to save time and improve their productivity. The bending rigidity, (in warp, weft, and skew direction), shear rigidity, and weight of fabric samples were used as the key input variables for the model, whereas drape coefficient, drape distance ratio, folds depth index, and node number were used as output/response variables. The results show that changing the values of fabric parameters significantly affected the fabric drape and a representative correlation values were found between the experimental values and those calculated by the fuzzy system.
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