Прегледај по Аутор "Halep, Amir"

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    DIJAGNOSTIKA VJETROELEKTRANE
    (Mašinski fakultet, Univerzitet u Zenici, 2016) Antunović, Ranko; Halep, Amir
    Svaki sistem zahtijeva redovno održavanje pa tako i vjetroelektrane. Savremeno održavanje vjetroelektrana se temlji na dijagnostici stanja vjetroelektrane koji se realizira kroz mjerenje parametara stanja sistema vjetroelektrane te obradi rezultata etabliranim metodama. U ovome radu je dat prikaz savremenih metoda koje se primjenjuju u nadzoru stanja vjetroelektrane
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    Failure diagnosis and prognosis of sliding bearings
    (2019) Antunović, Ranko; Vučetić, Nikola; Halep, Amir
    Sliding bearings are widely used machine elements from which the correct operation depends on the availability of many technical systems and great attention is paid to the study of the prediction method for sliding bearings. Problems that occur with sliding bearings lead to high levels of vibration and noise. One of the important parameters in the diagnosis and prediction of the failure of sliding bearings is the thermal analysis. In addition to these parameters, frequent vibration spectrum analysis, oil film thickness and other relevant parameters are often used. Using advanced technologies, it is possible to significantly reduce the duration of measurement, and on the other hand increase the accuracy of diagnostic methods. Phase logic is a mathematically formalized mode of representation modeling uncertainty. In this paper, a selection of damage in the operation of a sliding bearing has been made and the way of diagnosing these problems is shown. Methods that integrate several diagnostic parameters into one show reliable methods of early detection of slip bearing damage.
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    MATHEMATICAL MODEL FOR TEMPERATURE CHANGE OF A JOURNAL BEARING
    (Vinča Nuclear Research Institute, Belgrade, Srbija, 2018) Antunović, Ranko; Halep, Amir; Bučko, Mihael M.; Perić, Sreten R.
    In this work, a representative mathematical model has been developed, which re-liably describes the heating and cooling of a journal bearing as a result of its malfunctioning, and the model has been further confirmed on a test bench. The bearing model was validated by using analytical modeling methods, i. e. the ex-perimental results were compared to the data obtained by analytical calculations. The regression and variance analysis techniques were applied to process the rec-orded data, to test the mathematical model and to define mathematical functions for the heating/cooling of the journal bearing. This investigation shows that a representative model may reliably indicate the change in the thermal field, which may be a consequence of journal bearing damage.
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    Vibration and Temperature Measurement Based Indicator of Journal Bearing Malfunction
    (Faculty of Mechanical Engineering in Slavonski Brod; Faculty of Electrical Engineering, Computing and Information Technologies Osijek; Faculty of Civil Engineering and Architecture Osijek, 2018) Antunović, Ranko; Halep, Amir; Bučko, Mihael; Perić, Sreten; Vučetić, Nikola
    This paper aims to present the development and implementation of the new malfunction indicator in journal bearings, based on vibrational and thermal records, called DFJB-Defect Factor Journal Bearing. Briefly, the indicator contains the specifically processed information about the bearing vibrations and temperature, on the basis of which the DFJB is calculated using fuzzy logic, and thus the state of the journal bearing may be determined. It should be pointed out that the DFJB is developed in a manner that besides the temperature and the total number of absolute vibrations, it may also integrate following parameters of monitoring: the parameters of rotating vibrations, vibrations spectrum, the thickness of oil film in the journal bearing, the intensity of the ultrasound emission of the bearing etc. These parameters may in certain cases offer more reliable malfunction identification. Experimental investigations conducted in this work, on real machine equipment and in real exploitation conditions, have shown this method to be reliable in the identification of malfunctions in journal bearings. As a result of implementation of DFJB, the time necessary to collect measuring data is significantly shortened, whereas the diagnosis procedure for journal bearings is highly simplified. This is particularly important in complex technical systems with a vast number of measuring points, which often result in the overload of the operator.