Temat: fault detection - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: H₋/H∞ fault detection observer design for a polytopic LPV system using the relative degree
Autorzy:: Zhou, M.
Rodrigues, M.
Shen, Y.
Theilliol, D.
Tematy:: fault detection observer
polytopic LPV system
relative degree of output
actuator fault detection
sensor fault detection
detekcja uszkodzeń
urządzenie wykonawcze
czujnik detekcji; Pokaż więcej
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Powiązania:: https://bibliotekanauki.pl/articles/330200.pdf Link otwiera się w nowym oknie
Opis:: This paper proposes an H₋/H_∞ fault detection observer method by using generalized output for a class of polytopic linear parameter-varying (LPV) systems. As the main contribution, with the aid of the relative degree of output, a new output vector is generated by gathering the original output and its time derivative, and it is feasible to consider H₋ actuator fault sensitivity in the entire frequency for the new system. In order to improve actuator and sensor fault sensitivity as well as guarantee robustness against disturbances, simultaneously, an H₋/H_∞ fault detection observer is designed for the new LPV polytopic system. Besides, the design conditions of the proposed observer are transformed into an optimization problem by solving a set of linear matrix inequalities (LMIs). Numerical simulations are provided to illustrate the effectiveness of the proposed method.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Fault Detection of Induction Motors Due to the Effects of Magnetic Saturation
Autorzy:: Drozdowski, P
Duda, A
Tematy:: fault detection
induction motors
magnetic saturation; Pokaż więcej
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Napędów i Maszyn Elektrycznych Komel
Powiązania:: https://bibliotekanauki.pl/articles/1368121.pdf Link otwiera się w nowym oknie
Opis:: In this paper, the impact damage to the motors on the course of zero-sequence voltage and its spectrum is presented. Detection signals results from detail analysis of the formula describing this voltage component is induced in the stator windings due to core magnetic saturation and the discrete displacement of windings. Its course is affected by operating both the stator and the rotor. Other fault detection methods, by analysing the spectrum of stator currents, are known and widely applied. The presented method is under investigation, but may be a complement to the other because of easy measurement of the zero voltage for star connected motors. The results of the method are presented by measurements and explained using mathematical modelling for the slip-ring induction motor.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Fault detection technology for intelligent boundary switch
Autorzy:: Liu, Ling
Tematy:: fault detection
boundary switch
distribution grid; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/141028.pdf Link otwiera się w nowym oknie
Opis:: An intelligent boundary switch is a three-phase outdoor power distribution device equipped with a controller. It is installed at the boundary point on the medium voltage overhead distribution lines. It can automatically remove the single-phase-to-ground fault and isolation phase-to-phase short-circuit fault. Firstly, the structure of an intelligent boundary switch is studied, and then the fault detection principle is also investigated. The single-phase-to-ground fault and phase-to-phase short-circuit fault are studied respectively. A method using overcurrent to judge the short-circuit fault is presented. The characteristics of the single-phase-to-ground fault on an ungrounded distribution system and compositional grounded distribution system are analyzed. Based on these characteristics, a method using zero sequence current to detect the single-phase-to-ground fault is proposed. The research results of this paper give a reference for the specification and use of intelligent boundary switches.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: A modiﬁed independent component analysis-based fault detection method in plant-wide systems
Autorzy:: Teimoortashloo, M.
Sedigh, A. K.
Tematy:: DICA
fault detection
running time
orthogonalization; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Powiązania:: https://bibliotekanauki.pl/articles/205999.pdf Link otwiera się w nowym oknie
Opis:: This paper presents a modiﬁed Independent Component Analysis (ICA)-based Fault Detection Method (FDM). The proposed FDM constructs a set of matrices, revealingthe trend of the variable samples and execute ICA algorithm for each set of matrices in contrast to the FDM based on dynamic ICA (DICA) which constructs the high dimensional augmented matrix. This paper shows that the proposed FDM decreases the matrix dimensions and as a result compensates for some disadvantages of using the high dimensional matrix discussed in previous articles. Furthermore, other advantages of the proposed FDM are the decreases in the running time, computational cost of the algorithm and the orthogonalization estimation errors. Moreover, the proposed method improves the detectability for a class of faults compared to DICA-based FDM. This class of fault occurs when two or more consecutive samples of fault source signal have opposite signs and cancel out each other. Simulation results are provided to show the eﬀectiveness of the proposed methodology.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Influence of magnetic saturation effects on the fault detection of induction motors
Autorzy:: Drozdowski, P.
Duda, A.
Tematy:: induction motors
fault detection
saturation
zero-sequence voltage; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/141384.pdf Link otwiera się w nowym oknie
Opis:: In this paper, the influence of impact damage to the induction motors on the zero-sequence voltage and its spectrum is presented. The signals detecting the damages result from a detailed analysis of the formula describing this voltage component which is induced in the stator windings due to core magnetic saturation and the discrete displacement of windings. Its course is affected by the operation of both the stator and the rotor. Other fault detection methods, are known and widely applied by analysing the spectrum of stator currents. The presented method may be a complement to other methods because of the ease of measurements of the zero voltage for star connected motors. Additionally, for converter fed motors the zero sequence voltage eliminates higher time harmonics displaced by 120 degrees. The results of the method application are presented through measurements and explained by the use of a mathematical model of the slip-ring induction motor.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Feasibility study of a rail vehicle damper fault detection by artificial neural networks
Autorzy:: Melnik, Rafał
Koziak, Seweryn
Dižo, Ján
Kuźmierowski, Tomasz
Piotrowska, Ewa
Tematy:: rail vehicle
damper
suspension
fault detection
neural networks; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Powiązania:: https://bibliotekanauki.pl/articles/24200807.pdf Link otwiera się w nowym oknie
Opis:: The aim of the study was to investigate rail vehicle dynamics under primary suspension dampers faults and explore possibility of its detection by means of artificial neural networks. For these purposes two types of analysis were carried out: preliminary analysis of 1 DOF rail vehicle model and a second one - a passenger coach benchmark model was tested in multibody simulation software - MSC.Adams with use of VI-Rail package. Acceleration signals obtained from the latter analysis served as an input data into the artificial neural network (ANN). ANNs of different number of hidden layers were capable of detecting faults for the trained suspension fault cases, however, achieved accuracy was below 63% at the best. These results can be considered satisfactory considering the complexity of dynamic phenomena occurring in the vibration system of a rail vehicle.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Fault Diagnosis Basing on the Information of the Interval Delays of Symptoms
Diagnostyka uszkodzeń przy wykorzystaniu informacji o przedziałach opóźnień symptomów
Autorzy:: Kościelny, J. M.
Syfert, M.
Tematy:: detekcja uszkodzeń
lokalizacja uszkodzeń
systemy dynamiczne
fault detection
fault isolation; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/154277.pdf Link otwiera się w nowym oknie
Opis:: The paper presents the formal conditions for fault isolability in the case of reasoning based on binary diagnostics matrix and the intervals of delays for each fault-symptom pair. It is shown that the higher fault isolability can be achieved while taking into account the knowledge about the symptoms delays. Finally, the new isolation algorithm utilising such knowledge is proposed. The presented approaches are illustrated with the example of fault isolability analysis for three tank system.
W artykule przedstawiono formalne warunki rozróżnialności uszkodzeń w przypadku wnioskowania wykorzystującego binarną macierz diagnostyczna oraz przedziały opóźnień zdefiniowane dla każdej pary uszkodzenie - symptom. Wykazano iż możliwe jest uzyskanie wyższej rozróżnialności uszkodzeń gdy wykorzystywana jest wiedza o opóźnieniach symptomów. Przedstawiono także nowy algorytm lokalizacji wykorzystujący tego typu wiedzę.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: DC Motor Fault Analysis with the Use of Acoustic Signals, Coiflet Wavelet Transform, and K-Nearest Neighbor Classifier
Autorzy:: Glowacz, A.
Tematy:: acoustic signal
Coiflet wavelet
fault detection
DC motor; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/176503.pdf Link otwiera się w nowym oknie
Opis:: This paper focuses on testing the monitoring system of the Direct Current motor. This system gives the possibility of diagnosing various types of failures by means of analysis of acoustic signals. The applied method is based on a study of acoustic signals generated by the DC motor. A study plan of the DC motor’s acoustic signal was proposed. Studies were conducted for a faultless DC motor and Direct Current motor with 3 shorted rotor coils. Coiflet wavelet transform and K-Nnearest neighbor classifier with Euclidean distance were used to identify the incipient fault. This approach keeps the motor operating in acceptable condition for a long time and is also inexpensive.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Fault detection based on Lyapunov exponents estimation for stabilized mechanical systems
Autorzy:: Puzyrov, Volodymyr
Acho, Leonardo
Pujol, Gisela
Rodellar, José
Tematy:: fault detection
switched system
Lyapunov characteristic exponent
underactuated system; Pokaż więcej
Wydawca:: Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Powiązania:: https://bibliotekanauki.pl/articles/281447.pdf Link otwiera się w nowym oknie
Opis:: We study a stabilizable mechanical system in the vicinity of an equilibrium position. This position, as a rule, is unstable, and the system is underactuated. It is assumed that faults affect the technical process and its control. We suggest a fault diagnosis technique based on estimation of Lyapunov characteristic exponents of measured variables. A model of a linear switching system is involved for the system with faults description, and a common quadratic Lyapunov function is used to evaluate the deviation of the maximum exponent with respect to the default system. A scheme of fault magnitude estimation is suggested related to the degree of this deviation. An example of a 2-degree of freedom system is presented to illustrate the procedure.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Automatic identification of malfunctions of large turbomachinery during transient states with genetic algorithm optimization
Autorzy:: Barszcz, Tomasz
Zabaryłło, Mateusz
Tematy:: machine learning
fault detection
transient
turbine generator
genetic algorithm; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/2052104.pdf Link otwiera się w nowym oknie
Opis:: Turbines and generators operating in the power generation industry are a major source of electrical energy worldwide. These are critical machines and their malfunctions should be detected in advance in order to avoid catastrophic failures and unplanned shutdowns. A maintenance strategy which enables to detect malfunctions at early stages of their existence plays a crucial role in facilities using such types of machinery. The best source of data applied for assessment of the technical condition are the transient data measured during start-ups and coast-downs. Most of the proposed methods using signal decomposition are applied to small machines with a rolling element bearing in steady-state operation with a shaft considered as a rigid body. The machines examined in the authors’ research operate above their first critical rotational speed interval and thus their shafts are considered to be flexible and are equipped with a hydrodynamic sliding bearing. Such an arrangement introduces significant complexity to the analysis of the machine behavior, and consequently, analyzing such data requires a highly skilled human expert. The main novelty proposed in the paper is the decomposition of transient vibration data into components responsible for particular failure modes. The method is automated and can be used for identification of turbogenerator malfunctions. Each parameter of a particular decomposed function has its physical representation and can help the maintenance staff to operate the machine properly. The parameters can also be used by the managing personnel to plan overhauls more precisely. The method has been validated on real-life data originating from a 200 MW class turbine. The real-life field data, along with the data generated by means of the commercial software utilized in GE’s engineering department for this particular class of machines, was used as the reference data set for an unbalanced response during the transients in question.
Dostawca treści:: Biblioteka Nauki

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