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Wyświetlanie 1-15 z 178
Tytuł:
Soft computing methods applied to condition monitoring and fault diagnosis for maintenance
Autorzy:
Zio, E.
Powiązania:
https://bibliotekanauki.pl/articles/2069596.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
soft computing
artificial neural networks
fuzzy logic
genetic algorithms
condition monitoring
fault diagnosis
maintenance
Opis:
Malfunctions in equipment and components are often sources of reduced productivity and increased maintenance costs in various industrial applications. For this reason, machine condition monitoring is being pursued to recognize incipient faults in the strive towards optimising maintenance and productivity. In this respect, the following lecture notes provide the basic concepts underlying some methodologies of soft computing, namely neural networks, fuzzy logic systems and genetic algorithms, which offer great potential for application to condition monitoring and fault diagnosis for maintenance optimisation. The exposition is purposely kept on a somewhat intuitive basis: the interested reader can refer to the copious literature for further technical details.
Źródło:
Journal of Polish Safety and Reliability Association; 2007, 2; 363--377
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Okres życia sieci procesorów o strukturze logicznej typu sześcianu 4-wymiarowego diagnozowanej metodą porównawczą
The life period of a 4-dimensional cube type processors network diagnosed with the use of the comparison method
Autorzy:
Zieliński, Z.
Kulesza, R.
Powiązania:
https://bibliotekanauki.pl/articles/273323.pdf
Data publikacji:
2011
Wydawca:
Wojskowa Akademia Techniczna im. Jarosława Dąbrowskiego
Tematy:
diagnostyka systemowa
systemy tolerujące uszkodzenia
sieci procesorów typu hipersześcianu
sieci degradowane
system level diagnosis
fault tolerant systems
hypercube processors network
degradable networks
Opis:
W artykule rozpatrzono przypadek, gdy system jest jednorodną siecią procesorów o strukturze logicznej typu sześcianu 4-wymiarowego, w której tylko procesory ulegają uszkodzeniom trwałym oraz diagnozowanie procesorów wykonywane jest metodą porównawczą. Zdefiniowano i wyznaczono metodą analityczną charakterystyki degradacji sieci oraz rozkłady prawdopodobieństwa liczby uszkodzeń procesorów roboczych sieci typu 4-wymiarowego sześcianu, po której traci ona zdolność do funkcjonowania.
The paper investigates the case where the system is degradable multi-processor network organized as a 4-dimensional cube in which only processors may fail and a diagnosis is performed by the comparison method. The network degradation characteristics are defined and discussed. An analytical method of determining characteristics of a network performance degradation is proposed. On the basis of determined characteristics of the network performance degradation, a set of probability distributions of the number of failures of working processors in the network after which it loses the ability to function was depicted.
Źródło:
Biuletyn Instytutu Automatyki i Robotyki; 2011, R. 17, nr 30, 30; 17-32
1427-3578
Pojawia się w:
Biuletyn Instytutu Automatyki i Robotyki
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on SDG fault diagnosis of ocean shipping boiler system based on fuzzy granular computing under data fusion
Autorzy:
Zhu, Y.
Geng, L.
Powiązania:
https://bibliotekanauki.pl/articles/258772.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
granular computing
symbolic digraph
fault diagnosis
fuzzy theory
Opis:
The research work in this paper belongs to the application of granular computing, graph theory and its application in fault detection and diagnosis. It is a cross cutting and frontier research field in computer science, information science and graph theory. The results of this paper are of great significance to the application of the fault detection and diagnosis of the ocean boilers system. This research combines granular computing theory and signed directed graph, and proposes a new method of fault diagnosis, and applies it to the fault diagnosis of ocean ship boiler system.
Źródło:
Polish Maritime Research; 2018, S 2; 92-97
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault diagnosis in nonlinear hybrid systems
Autorzy:
Zhirabok, A.
Shumsky, A.
Powiązania:
https://bibliotekanauki.pl/articles/330628.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
hybrid system
finite automata
mode activator
fault diagnosis
nonparametric method
system hybrydowy
automat skończony
diagnostyka uszkodzeń
metoda nieparametryczna
Opis:
The problem of fault diagnosis in hybrid systems is investigated. It is assumed that the hybrid systems under consideration consist of a finite automaton, a set of nonlinear difference equations and the so-called mode activator that coordinates the action of the other two parts. To solve the fault diagnosis problem, hybrid residual generators based on both diagnostic observers and parity relations are used. It is shown that the hybrid nature of the system imposes some restrictions on the possibility of creating such generators. Sufficient solvability conditions of the fault diagnosis problem are found. Examples illustrate details of the solution.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2018, 28, 4; 635-648
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new feature extraction method for gear fault diagnosis and prognosis
Nowa metoda diagnozowania i prognozowania uszkodzeń przekładni z wykorzystaniem ekstrakcji cech
Autorzy:
Zhang, X.
Kang, J.
Bechhoefer, E.
Zhao, J.
Powiązania:
https://bibliotekanauki.pl/articles/301191.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
degradacja
diagnoza uszkodzeń
prognozowanie uszkodzeń
wskaźnik wstęgi bocznej
Narrowband Interference Cancellation
degradation
fault diagnosis
fault prognosis
sideband index
Opis:
Cechy odporne (robustfeatures) mają krytyczne znaczenie w trakcie śledzenia procesu degradacji przekładni. Stanowią one kluczowy czynnik w procesie diagnozowania i prognozowania uszkodzeń. Fakt ten stwarza w badaniach naukowych potrzebę ekstrakcji pożądanych cech. W niniejszej pracy wykorzystano nową metodę, tzw. metodę eliminacji zakłóceń wąskopasmowych (NarrowbandInterferenceCancellation), za pomocą której można wytłumić składową wąskopasmową, a wzmocnić składową impulsową, co ułatwia wykrywanie uszkodzeń przekładni. Metoda ta pozwala poprawić stosunek sygnału do szumu w szeregu impulsów związanym z częstotliwością charakteryzującą uszkodzenie przekładni. Skuteczność przedstawionej metody można wykazać za pomocą badań typu „pracuj do awarii” (run-to-failure) . Na podstawie synchronicznego sygnału wału wysokoobrotowego, z sygnałów przetwarzanych za pomocą metody eliminacji zakłóceń wąskopasmowych ekstrahuje się wskaźnik wstęgi bocznej (Sideband Index). Cecha ta ma lepszy trend degradacji niż tradycyjny wskaźnik wstęgi bocznej ekstrahowany bezpośrednio z sygnału uśrednionego synchronicznie w czasie. Porównanie cech wyodrębnionych w różnych procesach ekstrakcji dowodzi skuteczności opracowanej metody.
Robust features are very critical to track the degradation process of a gear. They are key factors for implementing fault diagnosis and prognosis. This has driven the need in research for extracting good features. This paper used a new method, Narrowband Interference Cancellation, to suppress the narrow band component and enhance the impulsive component enabling the gear fault detection easier. This method can improve the signal to noise ratio of impulse train associated with the gear fault frequency. A run-to-failure test is used to demonstrate the method’s effectiveness. Based on the time synchronous signal of high speed shaft, Sideband Index is extracted from the signals processed by Narrowband Interference Cancellation. This feature has good degradation trend than traditional Sideband Index extracted from the time synchronous average signal directly. Comparison of features based on different extraction process proves the effectiveness of developed method.
Źródło:
Eksploatacja i Niezawodność; 2014, 16, 2; 295-300
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A fault diagnosis method for substation grounding grid based on the square-wave frequency domain model
Autorzy:
Zhang, P.-H.
He, J.-J.
Zhang, D.-D.
Wu, L.-M.
Powiązania:
https://bibliotekanauki.pl/articles/221635.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
square-wave
frequency characteristics
grounding grid
fault diagnosis
Opis:
Current methods of fault diagnosis for the grounding grid using DC or AC are limited in accuracy and cannot be used to identify the locations of the faults. In this study, a new method of fault diagnosis for substation grounding grids is proposed using a square-wave. A frequency model of the grounding system is constructed by analyzing the frequency characteristics of the soil and the grounding conductors into which two different frequency square-wave sources are injected. By analyzing and comparing the corresponding information of the surface potentials of the output signals, the faults of the grounding grid can be diagnosed and located. Our method is verified by software simulation, scale model experiments and field experiments.
Źródło:
Metrology and Measurement Systems; 2012, 19, 1; 63-71
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An improved feature extraction method for rolling bearing fault diagnosis based on MEMD and PE
Autorzy:
Zhang, H.
Zhao, L.
Liu, Q.
Luo, J.
Wei, Q.
Zhou, Z.
Qu, Y.
Powiązania:
https://bibliotekanauki.pl/articles/259770.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
improved feature extraction method
rolling bearing fault diagnosis
MEMD
PE
Opis:
The health condition of rolling bearing can directly influence to the efficiency and lifecycle of rotating machinery, thus monitoring and diagnosing the faults of rolling bearing is of great importance. Unfortunately, vibration signals of rolling bearing are usually overwhelmed by external noise, so the fault frequencies of rolling bearing cannot be readily obtained. In this paper, an improved feature extraction method called IMFs_PE, which combines the multivariate empirical mode decomposition with the permutation entropy, is proposed to extract fault frequencies from the noisy bearing vibration signals. First, the raw bearing vibration signals are filtered by an optimal band-pass filter determined by SK to remove the irrelative noise which is not in the same frequency band of fault frequencies. Then the filtered signals are processed by the IMFs_PE to get rid of the relative noise which is in the same frequency band of fault frequencies. Finally, a frequency domain condition indicator FFR(Fault Frequency Ratio), which measures the magnitude of fault frequencies in frequency domain, is calculated to compare the effectiveness of the feature extraction methods. The feature extraction method proposed in this paper has advantages of removing both irrelative noise and relative noise over other feature extraction methods. The effectiveness of the proposed method is validated by simulated and experimental bearing signals. And the results are shown that the proposed method outperforms other state of the art algorithms with regards to fault feature extraction of rolling bearing.
Źródło:
Polish Maritime Research; 2018, S 2; 98-106
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Novel Approach To Diagnosis Of Analog Circuit Incipient Faults Based On KECA And OAO LSSVM
Autorzy:
Zhang, C.
He, Y.
Zuo, L.
Wang, J.
He, W.
Powiązania:
https://bibliotekanauki.pl/articles/221378.pdf
Data publikacji:
2015
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
analog circuits
incipient fault diagnosis
wavelet transform
kernel entropy component analysis
least squares support vector machine
Opis:
Correct incipient identification of an analog circuit fault is conducive to the health of the analog circuit, yet very difficult. In this paper, a novel approach to analog circuit incipient fault identification is presented. Time responses are acquired by sampling outputs of the circuits under test, and then the responses are decomposed by the wavelet transform in order to generate energy features. Afterwards, lower-dimensional features are produced through the kernel entropy component analysis as samples for training and testing a one-against-one least squares support vector machine. Simulations of the incipient fault diagnosis for a Sallen-Key band-pass filter and a two-stage four-op-amp bi-quad low-pass filter demonstrate the diagnosing procedure of the proposed approach, and also reveal that the proposed approach has higher diagnosis accuracy than the referenced methods.
Źródło:
Metrology and Measurement Systems; 2015, 22, 2; 251-262
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Grid Fault Diagnosis Based on Information Entropy and Multi-source Information Fusion
Autorzy:
Zeng, Xin
Xiong, Xingzhong
Luo, Zhongqiang
Powiązania:
https://bibliotekanauki.pl/articles/1844639.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
information entropy
Bayesian network
multi-source information fusion
D-S evidence theory
fault diagnosis
Opis:
In order to solve the problem of misjudgment caused by the traditional power grid fault diagnosis methods, a new fusion diagnosis method is proposed based on the theory of multi-source information fusion. In this method, the fault degree of the power element is deduced by using the Bayesian network. Then, the time-domain singular spectrum entropy, frequency-domain power spectrum entropy and wavelet packet energy spectrum entropy of the electrical signals of each circuit after the failure are extracted, and these three characteristic quantities are taken as the fault support degree of the power components. Finally, the four fault degrees are normalized and classified as four evidence bodies in the D-S evidence theory for multi-feature fusion, which reduces the uncertainty brought by a single feature body. Simulation results show that the proposed method can obtain more reliable diagnosis results compared with the traditional methods.
Źródło:
International Journal of Electronics and Telecommunications; 2021, 67, 2; 143-148
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Bayesian reliability models of Weibull systems: State of the art
Autorzy:
Zaidi, A.
Ould Bouamama, B.
Tagina, M.
Powiązania:
https://bibliotekanauki.pl/articles/330104.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
modelowanie hierarchiczne
system Weibulla
sieci bayesowskie
diagnostyka uszkodzeń
hierarchical modeling
reliability
Weibull
Bayesian networks
fault diagnosis
Opis:
In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the use of fault trees and reliability diagrams is not possible. To overcome this problem, Bayesian approaches offer a considerable efficiency in this context. This paper introduces recent contributions in the field of reliability modeling with the Bayesian network approach. Bayesian reliability models are applied to systems with Weibull distribution of failure. To achieve the formulation of the reliability model, Bayesian estimation of Weibull parameters and the model's goodness-of-fit are evoked. The advantages of this modelling approach are presented in the case of systems with an unknown reliability structure, those with a common cause of failures and redundant ones. Finally, we raise the issue of the use of BNs in the fault diagnosis area.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 3; 585-600
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A method for sensor placement taking into account diagnosability criteria
Autorzy:
Yassine, A. A.
Ploix, S.
Flaus, J.-M.
Powiązania:
https://bibliotekanauki.pl/articles/929893.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
diagnostyka uszkodzeń
diagnozowalność
położenie sensora
modelowanie strukturalne
fault diagnosis
diagnosability
sensor placement
structural modelling
Opis:
This paper presents a new approach to sensor placement based on diagnosability criteria. It is based on the study of structural matrices. Properties of structural matrices regarding detectability, discriminability and diagnosability are established in order to be used by sensor placement methods. The proposed approach manages any number of constraints modelled by linear or nonlinear equations and it does not require the design of analytical redundancy relations. Assuming that a constraint models a component and that the cost of the measurement of each variable is defined, a method determining sensor placements satisfying diagnosability specifications, where all the diagnosable, discriminable and detectable constraint sets are specified, is proposed. An application example dealing with a dynamical linear system is presented.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 4; 497-512
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Signed directed graph based modeling and its validation from process knowledge and process data
Autorzy:
Yang, F.
Shah, S. L.
Xiao, D.
Powiązania:
https://bibliotekanauki.pl/articles/331384.pdf
Data publikacji:
2012
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
graf skierowany
diagnostyka uszkodzeń
system oceny zagrożeń
signed directed graph
transfer entropy
process topology
fault diagnosis
process hazard assessment
Opis:
This paper is concerned with the fusion of information from process data and process connectivity and its subsequent use in fault diagnosis and process hazard assessment. The Signed Directed Graph (SDG), as a graphical model for capturing process topology and connectivity to show the causal relationships between process variables by material and information paths, has been widely used in root cause and hazard propagation analysis. An SDG is usually built based on process knowledge as described by piping and instrumentation diagrams. This is a complex and experience-dependent task, and therefore the resulting SDG should be validated by process data before being used for analysis. This paper introduces two validation methods. One is based on cross-correlation analysis of process data with assumed time delays, while the other is based on transfer entropy, where the correlation coefficient between two variables or the information transfer from one variable to another can be computed to validate the corresponding paths in SDGs. In addition to this, the relationship captured by data-based methods should also be validated by process knowledge to confirm its causality. This knowledge can be realized by checking the reachability or the influence of one variable on another based on the corresponding SDG which is the basis of causality. A case study of an industrial process is presented to illustrate the application of the proposed methods.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2012, 22, 1; 41-53
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A convolutional neural network-based method of inverter fault diagnosis in a ship’s DC electrical system
Autorzy:
Yan, Guohua
Hu, Yihuai
Shi, Qingguo
Powiązania:
https://bibliotekanauki.pl/articles/32898224.pdf
Data publikacji:
2022
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
multi-energy hybrid ships
inverters
fault diagnosis
CNN
Opis:
Multi-energy hybrid ships are compatible with multiple forms of new energy, and have become one of the most important directions for future developments in this field. A propulsion inverter is an important component of a hybrid DC electrical system, and its reliability has great significance in terms of safe navigation of the ship. A fault diagnosis method based on one-dimensional convolutional neural network (CNN) is proposed that considers the mutual influence between an inverter fault and a limited ship power grid. A tiled voltage reduction method is used for one-to-one correspondence between the inverter output voltage and switching combinations, followed by a combination of a global average pooling layer and a fully connected layer to reduce the model overfitting problem. Finally, fault diagnosis is verified by a Softmax layer with good anti-interference performance and accuracy.
Źródło:
Polish Maritime Research; 2022, 4; 105-114
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel fault diagnosis method for marine blower with vibration signals
Autorzy:
Yan, Guohua
Hu, Yihuai
Jiang, Jiawei
Powiązania:
https://bibliotekanauki.pl/articles/32899234.pdf
Data publikacji:
2022
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
fault diagnosis
marine blower
EEMD
correlation coefficient
AR spectrum
BPNN
Opis:
The vibration signals on marine blowers are non-linear and non-stationary. In addition, the equipment in marine engine room is numerous and affects each other, which makes it difficult to extract fault features of vibration signals in the time domain. This paper proposes a fault diagnosis method based on the combination of Ensemble Empirical Mode Decomposition (EEMD), an Autoregressive model (AR model) and the correlation coefficient method. Firstly, a series of Intrinsic Mode Function (IMF) components were obtained after the vibration signal was decomposed by EEMD. Secondly, effective IMF components were selected by the correlation coefficient method. AR models were established and the power spectrum was analysed. It was verified that blower failure can be accurately diagnosed. In addition, an intelligent diagnosis method was proposed based on the combination of EEMD energy and a Back Propagation Neural Network (BPNN), with a correlation coefficient method to get effective IMF components, and the energy components were calculated, normalised as a feature vector. Finally, the feature vector was sent to the BPNN for training and state recognition. The results indicated that the EEMD-BPNN intelligent fault diagnosis method is suitable for higly accurate fault diagnosis of marine blowers.
Źródło:
Polish Maritime Research; 2022, 2; 77-86
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault diagnosis of bearings based on SSWT, bayes optimisation and CNN
Autorzy:
Yan, Guohua
Hu, Yihuai
Shi, Qingguo
Powiązania:
https://bibliotekanauki.pl/articles/34610052.pdf
Data publikacji:
2023
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
fault diagnosis
bearing
PMSM
bayesian optimisation
CNN
Opis:
Bearings are important components of rotating machinery and transmission systems, and are often damaged by wear, overload and shocks. Due to the low resolution of traditional time-frequency analysis for the diagnosis of bearing faults, a synchrosqueezed wavelet transform (SSWT) is proposed to improve the resolution. An improved convolutional neural network fault diagnosis model is proposed in this paper, and a Bayesian optimisation method is applied to automatically adjust the structure and hyperparameters of the model to improve the accuracy of bearing fault diagnosis. Experimental results from the accelerated life testing of bearings show that the proposed method is able to accurately identify various types of bearing fault and the different status of these faults under complex running conditions, while achieving very good generalisation ability.
Źródło:
Polish Maritime Research; 2023, 3; 132-141
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 178

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