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Wyszukujesz frazę "Romero, C. A." wg kryterium: Autor


Wyświetlanie 1-6 z 6
Tytuł:
A methodology for non-invasive diagnosis of diesel engines through characteristics of starter system performance
Autorzy:
Ramírez, Juan D.
Romero, Carlos A.
Mejía, Juan C.
Quintero, Héctor F.
Powiązania:
https://bibliotekanauki.pl/articles/2096186.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
internal combustion engines
engine diagnosis
starting system
starting process
silniki spalinowe
diagnozowanie silników
układ rozruchowy
Opis:
In this work, a methodology to diagnose ten diesel bus engines is carried out by means of some characteristics of the starting system performance. The signals of battery voltage, electric current supplied to the starter motor and crankshaft revolutions during cold and warm engine starting processes are analysed. Characteristics and patterns of the signals that are attributable to engine compression and combustion failures are pointed out, which are related to the kilometres travelled by each vehicle after the last engine repair and the shutdown time of the engine in warm condition. It is obtained that the rise of the current required by the starter motor during the second and third compression process, and the mean crankshaft angular acceleration after the second compression process are characteristics that are related to the engine condition.
Źródło:
Diagnostyka; 2022, 23, 2; art. no. 2022202
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Causation of Severe and Fatal Accidents in the Manufacturing Sector
Autorzy:
Carillo-Castrillo, J. A.
Rubio-Romero, J. C.
Onieva, L.
Powiązania:
https://bibliotekanauki.pl/articles/91191.pdf
Data publikacji:
2013
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
accident causation
accident investigation
manufacturing sector
preventive actions
przyczyny wypadków
profilaktyka
produkcja
badanie wypadków
Opis:
The main purpose of this paper is to identify the most frequent causes of accidents in the manufacturing sector in Andalusia, Spain, to help safety practitioners in the task of prioritizing preventive actions. Official accident investigation reports are analyzed. A causation pattern is identified with the proportion of causes of each of the different possible groups of causes. We found evidence of a differential causation between slight and non-slight accidents. We have also found significant differences in accident causation depending on the mechanism of the accident. These results can be used to prioritize preventive actions to combat the most likely causes of each accident mechanism. We have also done research on the associations of certain latent causes with specific active (immediate) causes. These relationships show how organizational and safety management can contribute to the prevention of active failures.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2013, 19, 3; 423-434
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Detection of ice states from mechanical vibrations using entropy measurements and machine learning algorithms
Autorzy:
Mejía, Juan C.
Quintero, Héctor F.
Echeverry-Correa, Julián D.
Romero, Carlos A.
Powiązania:
https://bibliotekanauki.pl/articles/327980.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
entropy
vibration
dynamics
permutation
signal processing
entropia
drgania
dynamika
permutacja
przetwarzanie sygnałów
Opis:
Entropy measurements are an accessible tool to perform irregularity and uncertainty measurements present in time series. Particularly in the area of signal processing, Multiscale Permutation Entropy (MPE) is presented as a characterization methodology capable of measuring randomness and non-linear dynamics present in non-stationary signals, such as mechanical vibrations. In this article, we present a robust methodology based on MPE for detection of Internal Combustion Engine (ICE) states. The MPE is combined with Principal Component Analysis (PCA) as a technique for visualization and feature selection and KNearest Neighbors (KNN) as a supervised classifier. The proposed methodology is validated by comparing accuracy and computation time with others presented in the literature. The results allow to appreciate a high effectiveness in the detection of failures in bearings (experiment 1) and ICE states (experiment 2) with a low computational consumption.
Źródło:
Diagnostyka; 2020, 21, 4; 87-94
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
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:
Identification of metabolic indicators for cardiovascular risk in schoolchildren
Autorzy:
Palafox, M.L.
Celis, L.
Camarillo Romero, M.S.
Russi, A.
Hinojosa Juarez, A.C.
Almonacid Urrego, C.C.
Romero, E.C.
Zeron, H.M.
Powiązania:
https://bibliotekanauki.pl/articles/875905.pdf
Data publikacji:
2019
Wydawca:
Narodowy Instytut Zdrowia Publicznego. Państwowy Zakład Higieny
Opis:
Objective. CardioVascular Disease (CVD) is one of the most important causes of death worldwide affecting people at younger ages every year. The purpose of this study was to identify the metabolic indicators for cardiovascular risk factors in primary school students from Mexico and Colombia. Methods. A clinical, prospective, cross-sectional and comparative study was conducted in Mexico and Colombia to contrast anthropometric measurements, biochemical and dietetic determinations and physical activity. Results. The Waist-Hip Ratio (WHR) and the Waist-to-Height Ratio (WtHR) showed significant differences (p≤0.001) between Mexico and Colombia (0.8 ± 0.1 versus 0.5 ± 0.1) and (0.4 ± 0.06 vs. 0.78 ± 0.04) respectively. The Automatic Linear Modeling showed that the main predictors for cholesterol levels were WtHR, MonoUnsaturated Fatty Acids (MUFA) and lipids ingestion. For glucose there were four main predictors: WHR, carbohydrates, MUFA and Saturated Fatty Acids (SFA). For triglycerides the pedictors were Products of Animal Origin (PAO), BMI, waist circumference, lipids and cholesterol ingestion and Mean Arterial Pressure (MAP). The Weight Estimation tests weighted per gender showed that for glucose levels the main determinants were carbohydrates, MUFA and oils; for cholesterol these were MUFA, PUFA and oils; and for LDL the significant variables were proteins, SFA, PAO and sugars; and last, for triglycerides the main variables were BMI, cholesterol and vegetables. Conclusions. Mexico has higher values in almost all items of cardiovascular risk in children, but both countries have significant percentages of obesity and the population free of cardiovascular risk is minimal.
Źródło:
Roczniki Państwowego Zakładu Higieny; 2019, 70, 1
0035-7715
Pojawia się w:
Roczniki Państwowego Zakładu Higieny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Obtaining a Rough Flux Front in Type-II Superconductors Using a Critical State Model
Autorzy:
Romero-Salazar, C.
Hernández-Flores, O.
Chabanenko, V.
Kuchuk, E.
Abaloszewa, I.
Nabialek, A.
Pérez-Rodríguez, F.
Powiązania:
https://bibliotekanauki.pl/articles/1398648.pdf
Data publikacji:
2016-08
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
74.20.-z
74.20.De
74.25.Ha
74.25.N-
74.25.Op
74.25.Sv
74.25.Wx
74.62.Dh
74.81.-g
Opis:
In this work we numerically modelled a periodic magnetic flux pattern which qualitatively reproduces the so-called sand avalanches scenario in type-II superconductors. To model these sand-pile patterns we consider a perturbation on the critical current which, as a first approximation, follows a periodic function which depends on the position.
Źródło:
Acta Physica Polonica A; 2016, 130, 2; 645-648
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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