Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Kalman" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 170
Tytuł:
Metoda zdalnego zarządzania robotami mobilnymi
A remote controlled system based on education robots
Autorzy:
Żukowska, I.
Dimitrova-Grekow, T.
Salauyou, V.
Powiązania:
https://bibliotekanauki.pl/articles/158582.pdf
Data publikacji:
2014
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
robot mobilny
sterowanie przez Internet
śledzenie obiektów
robot edukacyjny
rozszerzony filtr Kalmana
mobile robots
remote Internet control
object tracking
educational robots
extended Kalman filter
Opis:
Artykuł przedstawia badania efektywności zarządzania układami mobilnymi przez Internet oraz testowanie skuteczności algorytmu śledzenia robota sterowanego zdalnie. Eksperymenty zostały przeprowadzone na zrealizowanym do tego celu systemie - serwis internetowy oferujący przeprowadzanie gry pomiędzy dwoma, zdalnie sterowanymi robotami. Do wykonania powyższych założeń wykorzystany został statystyczny algorytm śledzenia punktu oparty o rozszerzony filtr Kalmana. Przeprowadzono szereg testów.
The paper presents an analysis of the effectiveness of mobile system management via the Internet [1] and testing of the effectiveness of the tracking algorithm robot controlled remotely [2, 3]. A object tracking algorithm based on the Extended Kalman Filter is implemented into a game for two robots (Fig. 1). The project proves the efficiency of the robot control and the EKF accuracy by observing and analyzing the work of the internet service, which allows two remote-controlled robots to take a part in the game [8]. Similar examples are in medicine [5] as well as international research and education [6]. All of them use advanced robotics technologies [4, 7, 9]. The robot used in the experiments is an educational robot Mindstorms NXT and in this paper we prove that it also gives many possibilities to achieve interesting results in robot remote-control and human-robot interaction (Fig. 2). In the case of tests for the reaction time of the robot on request, one can draw positive conclusions. In situations where no response is required from the server, the response time of the systems to commands from the remote computers is instant. The effectiveness of the tracking algorithm for the remote-controlled robot was tested by conducting a series of tests. They showed a proportional dependency between the velocity of the robots and the coordinate errors (Figs. 3 and 4). A possible direction of development of the system may be the use of more advanced Internet technologies, which could accelerate communication between a client and a server.
Źródło:
Pomiary Automatyka Kontrola; 2014, R. 60, nr 7, 7; 492-494
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Angle measuring by MEMS accelerometers
Autorzy:
Zidek, K.
Dovica, M.
Liska, O.
Powiązania:
https://bibliotekanauki.pl/articles/384938.pdf
Data publikacji:
2012
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
MEMS
Kalman filter
control
Opis:
This article contains the description of MEMS accelerometers implementation to device which is able to measure danger tilt. We can find out actual tilt in two basic axes X and Y, from -90 centigrade to +90 centigrade. Z Axis can only detect fall of device or in vehicle system very fast downhill grade during movement. For testing of the solution we select small mobile robotic carriage. Hardware and software part of solution are described. Because data from sensor are in raw format from analog MEMS Accelerometer, we use free C# library with Kalman Filter implementation to remove signal error. We can acquire next information from sensor data for example movement's trajectory in X/Y axis (Cartesian system) and actual speed in all three axes. Fast alarm is provided by RGB led diode (red color is dangerous tilt.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2012, 6, 4; 3-6
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Parameter identification of ship maneuvering models using recursive least square method based on support vector machines
Autorzy:
Zhu, M.
Hahn, A.
Wen, Y.
Bolles, A.
Powiązania:
https://bibliotekanauki.pl/articles/116455.pdf
Data publikacji:
2017
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
ship manoeuvering
recursive least square method
ship manoeuvering model
ship maneuverability prediction
Support Vector Machines (SVM)
empirical mode decomposition (EMD)
Computational Fluid Dynamics (CFD)
Extended Kalman Filter (EKF)
Opis:
Determination of ship maneuvering models is a tough task of ship maneuverability prediction. Among several prime approaches of estimating ship maneuvering models, system identification combined with the full-scale or free- running model test is preferred. In this contribution, real-time system identification programs using recursive identification method, such as the recursive least square method (RLS), are exerted for on-line identification of ship maneuvering models. However, this method seriously depends on the objects of study and initial values of identified parameters. To overcome this, an intelligent technology, i.e., support vector machines (SVM), is firstly used to estimate initial values of the identified parameters with finite samples. As real measured motion data of the Mariner class ship always involve noise from sensors and external disturbances, the zigzag simulation test data include a substantial quantity of Gaussian white noise. Wavelet method and empirical mode decomposition (EMD) are used to filter the data corrupted by noise, respectively. The choice of the sample number for SVM to decide initial values of identified parameters is extensively discussed and analyzed. With de-noised motion data as input-output training samples, parameters of ship maneuvering models are estimated using RLS and SVM-RLS, respectively. The comparison between identification results and true values of parameters demonstrates that both the identified ship maneuvering models from RLS and SVM-RLS have reasonable agreements with simulated motions of the ship, and the increment of the sample for SVM positively affects the identification results. Furthermore, SVM-RLS using data de-noised by EMD shows the highest accuracy and best convergence.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2017, 11, 1; 23-29
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Quaternion-based filtering for gyroless attitude estimation without an attitude dynamics model
Autorzy:
Zhang, S.
Xing, F.
Sun, T.
You, Z.
Powiązania:
https://bibliotekanauki.pl/articles/220655.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
quaternion-based filtering
gyroless attitude estimation
angular velocity determination
Kalman filter
Opis:
Conventionally, the filtering technique for attitude estimation is performed using gyros or attitude dynamics models. In order to extend the application range of an attitude filter, this paper proposes a quaternion-based filtering framework for gyroless attitude estimation without an attitude dynamics model. The attitude estimation system is established based on a quaternion kinematic equation and vector observation models. The angular velocity in the system is determined through observation vectors from attitude sensors and the statistical properties of the angular velocity error are analysed. A Kalman filter is applied to estimate the attitude error such that the effect from the angular velocity error is compensated with its statistical properties at each sampling moment. A numerical simulation example is presented to illustrate the performance of the proposed algorithm.
Źródło:
Metrology and Measurement Systems; 2018, 25, 3; 631-643
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Improved classification robust Kalman filtering method for precise point positioning
Autorzy:
Zhang, Qieqie
Zhao, Long
Zhou, Jianhua
Powiązania:
https://bibliotekanauki.pl/articles/220468.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Kalman filter
classification robust
equivalent weight function
precise point positioning
Opis:
The accuracy and reliability of Kalman filter are easily affected by the gross errors in observations. Although robust Kalman filter based on equivalent weight function models can reduce the impact of gross errors on filtering results, the conventional equivalent weight function models are more suitable for the observations with the same noise level. For Precise Point Positioning (PPP) with multiple types of observations that have different measuring accuracy and noise levels, the filtering results obtained with conventional robust equivalent weight function models are not the best ones. For this problem, a classification robust equivalent weight function model based on the t-inspection statistics is proposed, which has better performance than the conventional equivalent weight function models in the case of no more than one gross error in a certain type of observations. However, in the case of multiple gross errors in a certain type of observations, the performance of the conventional robust Kalman filter based on the two kinds of equivalent weight function models are barely satisfactory due to the interaction between gross errors. To address this problem, an improved classification robust Kalman filtering method is further proposed in this paper. To verify and evaluate the performance of the proposed method, simulation tests were carried out based on the GPS/BDS data and their results were compared with those obtained with the conventional robust Kalman filtering method. The results show that the improved classification robust Kalman filtering method can effectively reduce the impact of multiple gross errors on the positioning results and significantly improve the positioning accuracy and reliability of PPP.
Źródło:
Metrology and Measurement Systems; 2019, 26, 2; 267-281
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extended Kalman filter based speed-sensorless load torque and inertia estimations with observability analysis for induction motors
Autorzy:
Zerdali, E.
Barut, M.
Powiązania:
https://bibliotekanauki.pl/articles/1193483.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
extended Kalman filter
induction motor
load torque estimation
inertia estimation
speed-sensorless control
observability analysis
Opis:
This paper aims to introduce a novel extended Kalman filter (EKF) based estimator including observability analysis to the literature associated with the high performance speed-sensorless control of induction motors (IMs). The proposed estimator simultaneously performs the estimations of stator stationary axis components of stator currents and rotor fluxes, rotor mechanical speed, load torque including the viscous friction term, and reciprocal of total inertia by using measured stator phase currents and voltages. The inertia estimation is done since it varies with the load coupled to the shaft and affects the performance of speed estimation especially when the rotor speed changes. In this context, the estimations of all mechanical state and parameters besides flux estimation required for high performance control methods are performed together. The performance of the proposed estimator is tested by simulation and real-time experiments under challenging variations in load torque and velocity references; and in both transient and steady states, the quite satisfactory estimation performance is achieved.
Źródło:
Power Electronics and Drives; 2018, 3, 38; 115-127
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault diagnosis-based observers using Kalman filters and Luenberger estimators: Application to the pitch system fault actuators
Autorzy:
Zemali, Zakaria
Cherroun, Lakhmissi
Hadroug, Nadji
Nadour, Mohamed
Hafaifa, Ahmed
Powiązania:
https://bibliotekanauki.pl/articles/2174470.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
fault detection
estimation
pitch system
Kalman filter
Luenberger observer
wykrywanie uszkodzeń
estymacja
filtr Kalmana
obserwator Luenbergera
Opis:
This paper aims to present a robust fault diagnosis structure-based observers for actuator faults in the pitch part system of the wind turbine benchmark. In this work, two linear estimators have been proposed and investigated: the Kalman filter and the Luenberger estimator for observing the output states of the pitch system in order to generate the appropriate residual between the measured positions of blades and the estimated values. An inference step as a decision block is employed to decide the existence of faults in the process, and to classify the detected faults using a predetermined threshold defined by upper and lower limits. All actuator faults in the pitch system of the horizontal wind turbine benchmark are studied and investigated. The obtained simulation results show the ability of the proposed diagnosis system to determine effectively the occurred faults in the pitch system. Estimation of the output variables is effectively realized in both situations: without and with the occurrence of faults in the studied process. A comparison between the two used observers is demonstrated.
Źródło:
Diagnostyka; 2023, 24, 1; art. no. 2022110
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Unscented and extended Kalman filters study for sensorless control of PM synchronous motors with load torque estimation
Autorzy:
Zawirski, K.
Janiszewski, D.
Muszynski, R.
Powiązania:
https://bibliotekanauki.pl/articles/200273.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
Kalman filters
control system synthesis
machine vector control
sensorless drives
velocity control
permanent magnet synchronous motor
Opis:
This paper describes a study and the experimental verification of sensorless control of permanent magnet synchronous motors using Kalman filters. There are proposed two structures, extended and unscented Kalman filters, which use only the measurement of the motor current for on-line estimation of speed, rotor position and load torque reconstruction. The Kalman filter is an optimal state estimator and is usually applied to a dynamic system that involves a random noise environment. These structures are described in detail, starting with the selection of the variables state vector, the filters structure, and ending with in-depth laboratory tests. It has become possible, without using position and torque sensors, to apply these control structures as a cost-effective solution. Experimental results confirm the validity of the proposed estimation techniques.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2013, 61, 4; 793-801
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Laser range measurement filtration for PNDS purposes
Autorzy:
Zalewski, P.
Tomczak, A.
Powiązania:
https://bibliotekanauki.pl/articles/360547.pdf
Data publikacji:
2012
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
Kalman filtration
state vector estimation
range measurement
laser range
docking system
Opis:
PNDS (Pilot Navigation and Docking System) [1] utilizes the range measurement between laser head and ship’s side to determine the ship’s outline presented on the screen. The noisy measurements and dynamic process noise affect the accuracy of determined parameters and propagate to ship’s heading and position. To improve the performance of PNDS system there was a need to apply the data filtering technique. In the paper the theoretical basis and algorithm of discrete Kalman filter designed for range optimal estimation in PNDS were described. The real data collected during berthing operation of motor vessel Navigator XXI were filtered and compared to row unfiltered data. The conclusions contain evaluation of filter capabilities and its potential application in PNDS system.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2012, 32 (104) z. 2; 182-185
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modele z filtrem Kalmana i rozmyte w systemach dynamicznego pozycjonowania
Kalman filter and fuzzy models in dynamic positioning systems
Autorzy:
Zalewski, P.
Powiązania:
https://bibliotekanauki.pl/articles/350644.pdf
Data publikacji:
2011
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
dynamiczne pozycjonowanie
modelowanie ruchu statku
filtr Kalmana
logika rozmyta
dynamic positioning
ship motion modeling
Kalman filter
fuzzy logic
Opis:
Dynamiczne pozycjonowanie statku to proces obejmujący dwa problemy: 1) utrzymania stałych, zadanych parametrów pozycji i kursu oraz 2) podążania po wyznaczonej trajektorii ruchu. Do tego celu wykorzystuje się różnorodne urządzenia napędowo-sterowe (pędniki okrętowe i stery). W artykule przedstawiono różne metody numeryczne rozwiązania obu problemów sterowania jednostkami oceanotechnicznymi korzystając z technik filtracji i logiki rozmytej.
Dynamic positioning of a ship is a process comprising two problems: 1) forcing the output of the ship to maintain a constant reference position and heading and 2) path following. In both cases the control is achieved using combination of several thrusters and rudders. The article presents various solutions to these control problems of offshore vessels, utilizing numerical filtration and fuzzy methods.
Źródło:
Górnictwo i Geoinżynieria; 2011, 35, 4/1; 411-426
1732-6702
Pojawia się w:
Górnictwo i Geoinżynieria
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Models of DP systems in full mission ship simulator
Modele systemów dynamicznego pozycjonowania w wielozadaniowym symulatorze statku
Autorzy:
Zalewski, P.
Powiązania:
https://bibliotekanauki.pl/articles/359467.pdf
Data publikacji:
2010
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
symulator statku
systemy DP
filtracja Kalmana
modelowanie systemów
ship's simulator
DP systems
Kalman filtering
systems modelling
Opis:
The paper presents modelling principles of DP systems integrated into the modernized full mission ship simulator of Kongsberg Polaris® type at Maritime University of Szczecin. Comparisons to real systems and research possibilities are given. Basing on the effects and conclusions obtained from scientific-research works performed by marine traffic engineering staff until now, the advantages of modernization of "full mission simulator" have been shown.
W artykule przedstawiono modele systemów dynamicznego pozycjonowania (DP) w wielozadaniowym symulatorze statku typu Kongsberg Polaris® w Akademii Morskiej w Szczecinie. Zaprezentowano porównania z rzeczywistymi systemami i możliwości badawcze. Na podstawie rezultatów dotychczasowych prac naukowo-badawczych realizowanych w Instytucie Inżynierii Ruchu Morskiego AM w Szczecinie przedstawiono zalety modernizacji wielozadaniowego symulatora manewrowo-nawigacyjnego statku.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2010, 20 (92); 146-152
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predykcyjne bezczujnikowe sterowanie silnikiem bezszczotkowym BLDC
Predictive control for sensorless brushless BLDC motor
Autorzy:
Zajkowski, K.
Duer, S.
Powiązania:
https://bibliotekanauki.pl/articles/312596.pdf
Data publikacji:
2013
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
silnik bezszczotkowy
filtracja Kalmana
model matematyczny silnika
BLDC motor
Kalman filter
mathematical model of the motor
Opis:
W artykule omówiono metodę sterowania bezczujnikowego silnikiem bezszczotkowym. Przedstawiono ideę sterowania przy wykorzystaniu modelu matematycznego silnika i filtru Kalmana.
This paper discusses a method control for sensorless brushless motor. The paper presents the idea of using a mathematical model and the Kalman filter on control BLDC motor.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2013, 14, 10; 307-310
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Experimental study on damage detection of base-isolated structure using an adaptive extended Kalman filter
Autorzy:
Yin, Q.
Zhou, L.
Mu, T.
Yang, J. N.
Powiązania:
https://bibliotekanauki.pl/articles/280160.pdf
Data publikacji:
2013
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
damage detection
adaptive extended Kalman filter
base-isolated structure
Opis:
In this paper, experimental studies are performed and presented to verify the capability of the adaptive extended Kalman filter (AEKF) approach for identifying and tracking damages in nonlinear structures. A base-isolated building model consisting of a scaled building model mounted on a rubber-bearing isolation system has been tested experimentally in the laboratory. The non-linear behavior of the base isolators is represented by the Bouc-Wen model. To simulate the structural damages during the test, an innovative device, referred to as the stiffness element device (SED), is proposed to reduce the stiffness of the upper storey of the structure. Various damage scenarios have been simulated and tested. The measured acceleration response data and the AEKF approach are used to track the variation of the stiffness during the test. The tracking results for the stiffness variations correlate well with that of the referenced values. It is concluded that the AEKF approach is capable of tracking the variation of structural parameters leading to the detection of damages in nonlinear structures.
Źródło:
Journal of Theoretical and Applied Mechanics; 2013, 51, 4; 1013-1026
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Simultaneous state and parameter estimation based actuator fault detection and diagnosis for an unmanned helicopter
Autorzy:
Wu, C.
Qi, J.
Song, D.
Qi, X.
Han, J.
Powiązania:
https://bibliotekanauki.pl/articles/329847.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
actuator fault detection
actuator fault diagnosis
unmanned helicopter
Kalman filter
set membership filter
adaptive scheme
detekcja uszkodzeń
diagnostyka uszkodzeń
śmigłowiec bezzałogowy
filtr Kalmana
Opis:
Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD) for single-rotor unmanned helicopters (UHs) is investigated in this paper. A literature review of actuator FDD for UHs is given firstly. Based on actuator healthy coefficients (AHCs), which are introduced to represent actuator faults, a combined dynamic model is established with the augmented state containing both the flight state and AHCs. Then the actuator fault detection and diagnosis problem is transformed into a general nonlinear estimation one: given control inputs and the measured flight state contaminated by measurement noises, estimate both the flight state and AHCs recursively in each time-step, which is also known as the simultaneous state and parameter estimation problem. The estimated AHCs can further be used for fault tolerant control (FTC). Based on the existing widely used nonlinear estimation methods such as the unscented Kalman filter (UKF) and the extended set-membership filter (ESMF), three kinds of adaptive schemes (KF-UKF, MIT-UKF and MIT-ESMF) are proposed by our team to improve the actuator FDD performance. A comprehensive comparative study on these different estimation methods is given in detail to illustrate their advantages and disadvantages when applied to unmanned helicopter actuator FDD.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 175-187
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A correction in feedback loop applied to two-axis gimbal stabilization
Autorzy:
Wrońska-Zych, A.
Dudczyk, J.
Kawalec, A.
Powiązania:
https://bibliotekanauki.pl/articles/202421.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
gimbal stabilization
feedback loops
Kalman filter
kardanowa stabilizacja
pętla sprzężenia zwrotnego
filtr Kalmana
Opis:
A two-axis gimbal system can be used for stabilizing platform equipped with observation system like cameras or different measurement units. The most important advantageous of using a gimbal stabilization is a possibility to provide not disturbed information or data from a measurement unit. This disturbance can proceed from external working conditions. The described stabilization algorithm of a gimbal system bases on a regulator with a feedback loop. Steering parameters are calculated from quaternion transformation angular velocities received from gyroscopes. This data are fed into the input of Proportional Integral Derivative (PID) controller. Their input signal is compared with earned value in the feedback loop. The paper presents the way of increasing the position’s accuracy by getting it in the feedback loop. The data fusion from a positioning sensor and a gyroscope results in much better accuracy of stabilization.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2015, 63, 1; 217--219
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 170

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies