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    Wyświetlanie 1-11 z 11
    Tytuł:
    Input reconstruction by means of system inversion: A geometric approach to fault detection and isolation in nonlinear systems
    Autorzy:
    Edelmayer, A.
    Bokor, J.
    Szabo, Z.
    Szigeti, F.
    Powiązania:
    https://bibliotekanauki.pl/articles/907385.pdf
    Data publikacji:
    2004
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    układ liniowy
    układ nieliniowy
    inwersja systemu
    fault detection
    fault isolation
    input reconstruction
    linear system
    nonlinear system
    system inversion
    Opis:
    In this paper the classical detection filter design problem is considered as an input reconstruction problem. Input reconstruction is viewed as a dynamic inversion problem. This approach is based on the existence of the left inverse and arrives at detector architectures whose outputs are the fault signals while the inputs are the measured system inputs and outputs and possibly their time derivatives. The paper gives a brief summary of the properties and existence of the inverse for linear and nonlinear multivariable systems. A view of the inversion-based input reconstruction with special emphasis on the aspects of fault detection and isolation by using invariant subspaces and the results of classical geometrical systems theory is provided. The applicability of the idea to fault reconstruction is demonstrated through examples.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2004, 14, 2; 189-199
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Parameter Estimation Based Fault Detection and Isolation in Wiener and Hammerstein Systems
    Autorzy:
    Janczak, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908281.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    wykrywanie błędu
    wyodrębnienie błędu
    estymacja parametryczna
    sieć neuronowa
    system nieliniowy
    fault detection
    fault isolation
    parameter estimation
    neural networks
    nonlinear system
    Opis:
    Fault detection and isolation in Wiener and Hammerstein systems via generation and processing of residual sequences is considered. We assume that some models of the unfaulty Wiener and Hammerstein systems under consideration are known. For Wiener systems, we also assume that their static nonlinear subsystems are invertible. Then, based on a serial-parallel definition of the residual error, new fault detection and isolation methods are proposed.To detect and identify all the changes in both the Wiener and Hammerstein system parameters, the sequences of residuals are processed by using linear regression methods or a neural network approach.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 711-735
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A data driven fault isolation method based on reference faulty situations with application to a nonlinear chemical process
    Autorzy:
    Ragot, José
    Mourot, Gilles
    Kallas, Maya
    Powiązania:
    https://bibliotekanauki.pl/articles/2172122.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault detection
    fault isolation
    nonlinear system
    data modelling
    kernel
    wykrywanie uszkodzeń
    izolacja uszkodzeń
    układ nieliniowy
    modelowanie danych
    Opis:
    The diagnosis of systems is one of the major steps in their control and its purpose is to determine the possible presence of dysfunctions, which affect the sensors and actuators associated with a system but also the internal components of the system itself. On the one hand, the diagnosis must therefore focus on the detection of a dysfunction and, on the other hand, on the physical localization of the dysfunction by specifying the component in a faulty situation, and then on its temporal localization. In this contribution, the emphasis is on the use of software redundancy applied to the detection of anomalies within the measurements collected in the system. The systems considered here are characterized by non-linear behaviours whose model is not known a priori. The proposed strategy therefore focuses on processing the data acquired on the system for which it is assumed that a healthy operating regime is known. Diagnostic procedures usually use this data corresponding to good operating regimes by comparing them with new situations that may contain faults. Our approach is fundamentally different in that the good functioning data allow us, by means of a non-linear prediction technique, to generate a lot of data that reflect all the faults under different excitation situations of the system. The database thus created characterizes the dysfunctions and then serves as a reference to be compared with real situations. This comparison, which then makes it possible to recognize the faulty situation, is based on a technique for evaluating the main angle between subspaces of system dysfunction situations. An important point of the discussion concerns the robustness and sensitivity of fault indicators. In particular, it is shown how, by non-linear combinations, it is possible to increase the size of these indicators in such a way as to facilitate the location of faults.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 635--655
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An Expert System Coupled With a Hierarchical Structure of Fuzzy Neural Networks for Fault Diagnosis
    Autorzy:
    Calado, J. M. F.
    Costa, I. S.
    Powiązania:
    https://bibliotekanauki.pl/articles/908283.pdf
    Data publikacji:
    1999
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    rozpoznanie błędu
    wykrywanie błędu
    system ekspertowy
    sieć neuronowa rozmyta
    fault diagnosis
    fault detection
    fault isolation
    shallow knowledge
    deep knowledge
    expert system
    fuzzy neural network
    abrupt faults
    incipient faults
    Opis:
    An on-line fault diagnosis system, designed to be robust to the normal transient behaviour of the process, is described. The overall system consists of an expert system cascade with a hierarchical structure of fuzzy neural networks, corresponding to a multi-stage fault detection and isolation system. The fault detection is performed through the expert system by means of fault detection heuristic rules, generated from deep and shallow knowledge of the process under consideration. If a fault is detected, the hierarchical structure of fuzzy neural networks starts and it performs the fault isolation task. The structure of this diagnosis system was designed to allow for the diagnosis of single and multiple simultaneous abrupt and incipient faults from only single abrupt fault symptoms. Also, it combines the advantages of both fuzzy reasoning and neural networks learning capacity. A continuous binary distillation column has been used as a test bed of the current approach. Single, double and triple simultaneous abrupt faults, as well as incipient faults, have been considered. The preliminary results obtained show a good accuracy, even in the case of multiple faults.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 1999, 9, 3; 667-687
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Switching time estimation and active mode recognition using a data projection method
    Autorzy:
    Hakem, A.
    Cocquempot, V.
    Pekpe, K. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/330702.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    switching system
    mode recognition
    fault detection
    fault isolation
    data driven method
    mode discernability
    switching detectability
    fault identifiability
    system przełączania
    tryb rozpoznawania
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    tryb rozróżnialności
    identyfikowalność uszkodzeń
    Opis:
    This paper proposes a data projection method (DPM) to detect a mode switching and recognize the current mode in a switching system. The main feature of this method is that the precise knowledge of the system model, i.e., the parameter values, is not needed. One direct application of this technique is fault detection and identification (FDI) when a fault produces a change in the system dynamics. Mode detection and recognition correspond to fault detection and identification, and switching time estimation to fault occurrence time estimation. The general principle of the DPM is to generate mode indicators, namely, residuals, using matrix projection techniques, where matrices are composed of input and output measured data. The DPM is presented in detail, and properties of switching detectability (fault detectability) and discernability between modes (fault identifiability) are characterized and discussed. The great advantage of this method, compared with other techniques in the literature, is that it does not need the model parameter values and thus can be applied to systems of the same type without identifying their parameters. This is particularly interesting in the design of generic embedded fault diagnosis algorithms.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 4; 827-840
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A graph theory-based approach to the description of the process and the diagnostic system
    Autorzy:
    Kościelny, Jan Maciej
    Bartyś, Michał
    Syfert, Michał
    Sztyber, Anna
    Powiązania:
    https://bibliotekanauki.pl/articles/2124778.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    graph of the process
    graph of the diagnostic system
    fault detection
    fault isolation
    qualitative model
    limitations of diagnostic approaches
    wykres procesu
    system diagnostyczny
    wykrywanie uszkodzeń
    izolacja uszkodzeń
    model jakościowy
    Opis:
    The paper proposes an original, comprehensive, and methodically consistent graph theory-based approach to the description of the diagnosed process and the diagnosing system. The main baseline of the presented approach is in the dichotomous approach to diagnosing. It involves a separate description of both the process and the diagnostic system. This approach reflects the practice of designing implementable diagnostic systems. Thus, it can be seen as a proposal of a new, alternative, and, at the same time, flexible design procedure with great potential for applications. The primary motivation behind it was an attempt to circumvent the numerous limitations of well-known and well-established diagnosis approaches proposed by the communities working on fault detection and isolation (FDI) and artificial intelligence theories for diagnosis (DX). Accordingly, the paper identifies and provides an extensive discussion and a critical analysis of the existing limitations. Numerous examples and references to practical applications of the approach are indicated.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 2; 213--227
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Nonlinear diagnostic filter design: Algebraic and geometric points of view
    Autorzy:
    Shumsky, A.
    Zhirabok, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/908458.pdf
    Data publikacji:
    2006
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    filtr diagnostyczny
    system nieliniowy
    podejście geometryczne
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    diagnostic filter
    nonlinear systems
    geometric approach
    algebraic approach
    fault detection
    fault isolation
    Opis:
    The problem of diagnostic filter design is studied. Algebraic and geometric approaches to solving this problem are investigated. Some relations between these approaches are established. New definitions of fault detectability and isolability are formulated. On the basis of these definitions, a procedure for diagnostic filter design is given in both algebraic and geometric terms.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2006, 16, 1; 115-127
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    SMAC-FDI: A single model active fault detection and isolation system for unmanned aircraft
    Autorzy:
    Ducard, G. J. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/331366.pdf
    Data publikacji:
    2015
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault detection
    fault isolation
    unmanned aerial vehicle
    Kalman filtering
    computationally efficient diagnosis system
    active fault diagnosis
    artificial excitation system
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    bezzałogowiec
    filtracja Kalmana
    diagnostyka uszkodzeń
    układ wzbudzenia
    Opis:
    This article presents a single model active fault detection and isolation system (SMAC-FDI) which is designed to efficiently detect and isolate a faulty actuator in a system, such as a small (unmanned) aircraft. This FDI system is based on a single and simple aerodynamic model of an aircraft in order to generate some residuals, as soon as an actuator fault occurs. These residuals are used to trigger an active strategy based on artificial exciting signals that searches within the residuals for the signature of an actuator fault. Fault isolation is carried out through an innovative mechanism that does not use the previous residuals but the actuator control signals directly. In addition, the paper presents a complete parameter-tuning strategy for this FDI system. The novel concepts are backed-up by simulations of a small unmanned aircraft experiencing successive actuator failures. The robustness of the SMAC-FDI method is tested in the presence of model uncertainties, realistic sensor noise and wind gusts. Finally, the paper concludes with a discussion on the computational efficiency of the method and its ability to run on small microcontrollers.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2015, 25, 1; 189-201
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Algorithms of detection and isolation for instrumentation faults in control system of a condensation turbine
    Algorytmy detekcji i lokalizacji uszkodzeń torów pomiarowych w programie sterowania turbiny kondensacyjnej
    Autorzy:
    Pawlak, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/258119.pdf
    Data publikacji:
    2006
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
    Tematy:
    turbina kondensacyjna
    tor pomiarowy
    układ regulacji
    modelowanie
    lokalizacja uszkodzeń
    detekcja uszkodzeń
    diagnostyka
    condensation turbine
    instrumentation line
    control system
    modeling
    fault isolation
    fault detection
    diagnosis
    Opis:
    Control system of a condensation turbine with fault tolerant instrumentation lines is presented in this paper. The characteristics of instrumentation signals entering the controller and methods of fault detection are also presented. Application of modelling for diagnostic purposes is given. The creation of partial models used for fault detection as well as methods of fault isolation are described.
    Przedstawiono układ regulacji turbiny kondensacyjnej odporny na uszkodzenia torów pomiarowych. Zaprezentowano charakterystykę sygnałów pomiarowych wchodzących do regulatora i metody wykrywania uszkodzeń przykładowych torów pomiarowych. Przedstawiono wykorzystanie modelowania dla celów diagnostycznych. Opisano sposób budowy modeli cząstkowych wykorzystywanych do detekcji uszkodzeń. Zaprezentowano sposoby lokalizacji uszkodzeń.
    Źródło:
    Problemy Eksploatacji; 2006, 2; 21-32
    1232-9312
    Pojawia się w:
    Problemy Eksploatacji
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A double window state observer for detection and isolation of abrupt changes in parameters
    Autorzy:
    Byrski, J.
    Byrski, W.
    Powiązania:
    https://bibliotekanauki.pl/articles/330142.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    fault detection
    fault isolation
    exact state observer
    parameter abrupt changes
    derivative reconstruction
    linear continuous system
    detekcja uszkodzeń
    lokalizacja uszkodzeń
    dokładny obserwator stanu
    układ ciągły liniowy
    Opis:
    The paper presents a new method for diagnosis of a process fault which takes the form of an abrupt change in some real parameter of a time-continuous linear system. The abrupt fault in the process real parameter is reflected in step changes in many parameters of the input/output model as well as in step changes in canonical state variables of the system. Detection of these state changes will enable localization of the faulty parameter in the system. For detecting state changes, a special type of exact state observer will be used. The canonical state will be represented by the derivatives of the measured output signal. Hence the exact state observer will play the role of virtual sensors for reconstruction of the derivatives of the output signal. For designing the exact state observer, the model parameters before and after the moment of fault occurrence must be known. To this end, a special identification method with modulating functions will be used. A novel concept presented in this paper concerns the structure of the observer. It will take the form of a double moving window observer which consists of two signal processing windows, each of width T . These windows are coupled to each other with a common edge. The right-hand side edge of the left-side moving window in the interval [t − 2T, t − T ] is connected to the left-hand side edge of the right-side window which operates in the interval [t − T, t]. The double observer uses different measurements of input/output signals in both the windows, and for each current time t simultaneously reconstructs two values of the state—the final value of the state in the left-side window zT (t − T ) and the initial value of the state z0(t − T ) in the right-side window. If the process parameters are constant, the values of both the states on the common joint edge are the same. If an abrupt change (fault) in some parameter at the moment tA = t − T occurs in the system, then step changes in some variables of the canonical state vector will also occur and the difference between the states will be detected. This will enable localization of the faulty parameter in the system.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2016, 26, 3; 585-602
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Performance optimization of model-free fault diagnosis schemes
    Optymalizacja sprawności schematów diagnostycznych bez wsparcia modelowego
    Autorzy:
    Kalisch, M.
    Przystałka, P.
    Katunin, A.
    Timofiejczuk, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/327736.pdf
    Data publikacji:
    2016
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    fault detection
    fault isolation
    evolutionary optimization
    data mining techniques
    wavelet analysis
    wind turbine system
    detekcja uszkodzeń
    izolacja uszkodzeń
    optymalizacja ewolucyjna
    techniki eksploracji danych
    analiza falkowa
    turbina wiatrowa
    Opis:
    This paper describes the method of model-free fault detection and isolation. The main purpose of the research is to present one possibility of the development of diagnostic schemes for which the component structure and behavioural parameters are tuned automatically in order to obtain the maximal efficiency of the fault detection and isolation system. The proposed approach can be viewed as the intersection of elementary methods (classic and soft computing) such as discrete wavelet analysis, machine learning (using decision trees or artificial neural networks), and evolutionary algorithms. The fundamental verification of the method was conducted for data made available within the benchmark problem involving a wind turbine. The achieved results confirm the effectiveness of the proposed approach while also showing its limitations.
    Artykuł opisuje metodę detekcji i izolacji uszkodzeń bez użycia modelu. Głównym celem badań jest pokazanie możliwości opracowania schematów diagnostycznych, których struktura oraz parametry są dostrajane automatycznie w celu osiągnięcia najwyższej możliwej sprawności detekcji i izolacji uszkodzeń. Zaproponowane podejście może być postrzegane jako połączenie elementarnych metod (klasyczne metody oraz obliczenia miękkie) jak np. analiza falkowa, metody uczenia maszynowego (drzewa decyzyjne i sztuczne sieci neuronowe) oraz algorytmy ewolucyjne. Weryfikacja metody została przeprowadzona na danych symulacyjnych wygenerowanych za pomocą modelu turbiny wiatrowej. Uzyskane wyniki potwierdziły wysoką skuteczność metody oraz pokazały jej ograniczenia.
    Źródło:
    Diagnostyka; 2016, 17, 1; 51-58
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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