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    Wyświetlanie 1-6 z 6
    Tytuł:
    Engine diagnosis based on vibration analysis using different fuel blends
    Autorzy:
    Grajales, J. A.
    Quintero, H. F.
    López, J. F.
    Romero, C. A.
    Henao, E.
    Cardona, O.
    Powiązania:
    https://bibliotekanauki.pl/articles/328420.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    engine diagnosis
    vibration analysis
    frequency analysis
    diagnostyka silnika
    analiza drgań
    analiza częstotliwościowa
    Opis:
    Fault diagnosis of an internal combustion engine is proposed herein by means of vibration analysis and a comparative analysis of normal operation and induced misfire scenarios. In order to validate previous works on misfire with pure gasoline, measurements also included tests performed with ethanol-gasoline fuel blends. According to results, changes in the fuel mix seem to have little impact on the performance and behaviour of the engine. And additionally, the particular frequency components that allowed differentiation between normal and faulty conditions were also present on all the fuel blends tested. Fast Fourier Transform was applied to obtain the frequency domain of the signal as a previous step to the subsequent identification process based on statistical characteristics extraction. A fuel blend classification method based on the analysis of the vibration signals of the engine was studied using envelope, Spike Energy and Peak Value techniques. Differentiation was possible with the extraction of the statistical features of the Peak Value spectrum of the longitudinal acceleration with a specific filter selection.
    Źródło:
    Diagnostyka; 2017, 18, 4; 27-36
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research on vibration-based early diagnostic system for excavator motor bearing using 1-D CNN
    Autorzy:
    Yandagsuren, Dorjsuren
    Kurauchi, Tatsuki
    Toriya, Hisatoshi
    Ikeda, Hajime
    Adachi, Tsuyoshi
    Kawamura, Youhei
    Powiązania:
    https://bibliotekanauki.pl/articles/2201430.pdf
    Data publikacji:
    2023
    Wydawca:
    Główny Instytut Górnictwa
    Tematy:
    bearing diagnosis
    electric motor
    vibration analysis
    signal processing
    1-D CNN
    diagnostyka łożysk
    silnik elektryczny
    analiza drgań
    przetwarzanie sygnałów
    Opis:
    In mining, super-large machines such as rope excavators are used to perform the main mining operations. A rope excavator is equipped with motors that drive mechanisms. Motors are easily damaged as a result of harsh mining conditions. Bearings are important parts in a motor; bearing failure accounts for approximately half of all motor failures. Failure reduces work efficiency and increases maintenance costs. In practice, reactive, preventive, and predictive maintenance are used to minimize failures. Predictive maintenance can prevent failures and is more effective than other maintenance. For effective predictive maintenance, a good diagnosis is required to accurately determine motor-bearing health. In this study, vibration-based diagnosis and a one-dimensional convolutional neural network (1-D CNN) were used to evaluate bearing deterioration levels. The system allows for early diagnosis of bearing failures. Normal and failure-bearing vibrations were measured. Spectral and wavelet analyses were performed to determine the normal and failure vibration features. The measured signals were used to generate new data to represent bearing deterioration in increments of 10%. A reliable diagnosis system was proposed. The proposed system could determine bearing health deterioration at eleven levels with considerable accuracy. Moreover, a new data mixing method was applied.
    Źródło:
    Journal of Sustainable Mining; 2023, 22, 1; 65--80
    2300-1364
    2300-3960
    Pojawia się w:
    Journal of Sustainable Mining
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnosis of vortex induced vibration of a gravity damper
    Autorzy:
    Scappaticci, L.
    Castellani, F.
    Astolfi, D.
    Garinei, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/328322.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    mechanical systems
    vibration analysis
    computational mechanics
    accelerometers
    układy mechaniczne
    analiza drgań
    mechanika komputerowa
    akcelerometr
    Opis:
    A gravity damper is a one-way valve, employed for regulating the airflow rate in ducts, generally constituted by a series of rectangular panels (closure sections), connected to an articulated quadrilateral synchronizing the movements. If the device needs to process large masses of high speed air, as common in the case of energy conversion systems, disadvantageous dynamic effects can occur. In this study, vortexinduced vibration (VIV), occurring on a gravity damper for high values of the Reynolds number, is investigated. The analysis of this work couples numerical methods (Computational Fluid Dynamics with Large-Eddy Simulation turbulence model and Finite Element Method) to experiments: a full-scale accelerometric measurement campaign is actually performed at the wind tunnel facilities of the University of Perugia. VIVs are diagnosed and quantified through the experimental vibration analysis, which is interpreted through numerical simulations. The large amplitude of VIV is interpreted as due to a tendency towards lockin because of the approaching of the vortex shedding frequency to a natural vibration mode of the system. The integrated numerical and experimental framework finally inspires two different design solutions for mitigating the amplitude of VIV: these strategies are tested at the wind tunnel and they are indeed shown to be effective.
    Źródło:
    Diagnostyka; 2018, 19, 2; 31-39
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Optimized multi layer perceptron artificial neural network based fault diagnosis of induction motor using vibration signals
    Autorzy:
    Khoualdia, Tarek
    Lakehal, Abdelaziz
    Chelli, Zoubir
    Khoualdia, Kais
    Nessaib, Karim
    Powiązania:
    https://bibliotekanauki.pl/articles/1840889.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    induction motor
    vibration analysis
    monitoring
    diagnosis
    optimized artificial neural network
    sensitivity analysis
    silnik indukcyjny
    analiza drgań
    monitorowanie
    diagnoza
    sztuczna sieć neuronowa
    analiza wrażliwości
    Opis:
    Installations and the detection of their faults has become a major challenge. In order to develop a reliable approach for monitoring and diagnosis faults of these components, a test rig was mounted. In this article, a Multi Layer Perceptron (MLP) Artificial Neural Network (ANN) has been structured and optimized for online monitoring of induction motors. The input layer of our ANN used eight indicators calculated from the collected time signals and which represent the different states of the motor (Healthy, broken rotor bars, bearing fault and Misalignment) and the output layer used a codified matrix. However, based on L27 Taguchi design, the architecture for the hidden layers of our network is chosen, with the use of the LevenbergMarquardt learning algorithm. Garson's algorithm and connection weight approach showed that there's a great sensitivity of the crest factor, the kurtosis and the variance on the effectiveness of our diagnostic system. Consequently, the obtained results are capable of detecting faults in the induction motor under different operating conditions.
    Źródło:
    Diagnostyka; 2021, 22, 1; 65-74
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnozowanie układów na podstawie analizy zmian krzywej szkieletowej uzyskiwanej metodą STFT-AFC
    Autorzy:
    Barczewski, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/329556.pdf
    Data publikacji:
    2000
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    diagnozowanie
    krzywa szkieletowa
    analiza drgań
    metoda STFT-AFC
    diagnosis
    vibration
    STFT method
    Opis:
    W pracy przedstawiono zarys metody uzyskiwania krzywych szkieletowych układów na podstawie analizy drgań swobodnych z wykorzystaniem STFT-AFC. Przeprowadzony eksperyment potwierdził możliwość wykorzystania analizy nieliniowości układu do celów diagnostycznych. Dalsze prace w tym obszarze będą związane z optymalizacją przetwarzania sygnału, automatyzacją procesu parametryzacji krzywych szkieletowych oraz opracowaniem metody identyfikacji typów nieliniowości. Będą prowadzone badania weryfikacyjne mające na celu określenie klasy obiektów, co do których powyższa metoda diagnozowania znajdzie zastosowanie.
    Źródło:
    Diagnostyka; 2000, 23; 15-18
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Fabrication of a test rig for gearbox fault simulation and diagnosis
    Autorzy:
    Dubaish, Asaad Abdulhussein
    Jaber, Alaa Abdulhady
    Powiązania:
    https://bibliotekanauki.pl/articles/2203635.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
    Tematy:
    fault detection
    vibration analysis
    time-domain signal
    gearbox
    LabVIEW
    wykrywanie uszkodzeń
    analiza drgań
    przekładnia
    Opis:
    Gearboxes are one of the most important and widely exposed to different types of faults in machines. Therefore, manufacturers and researchers have made significant efforts to develop different fault detection and diagnostic approaches for gearboxes. However, many research foundations, such as universities, are currently working on developing different gearbox test rigs to understand the failure mechanisms in gearboxes. As a result, in this article, a gearbox testing rig was proposed and fabricated to evaluate gear performance under lowspeed working conditions. It describes the primary mechanical apparatus and the measurement tools used during the experimental analysis of a multistage gearbox transmission system. The data-gathering equipment used to acquire the observed vibration data is also discussed. LabVIEW software was used to build a data acquisition platform using an accelerometer and a NI DAQ device. Then different vibration tests were conducted under different operating conditions, when the gearbox was healthy and then faulty, on this test rig, and the gathered vibration data were analyzed based on time domain signal analysis. The preliminary results are promising and open the horizon for simulating different gearbox test scenarios.
    Źródło:
    Diagnostyka; 2023, 24, 2; art. no. 2023204
    1641-6414
    2449-5220
    Pojawia się w:
    Diagnostyka
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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