Yazar "Gokdel, Yigit D." seçeneğine göre listele

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    Condition monitoring of wind turbine blades and tower via an automated laser scanning system
    (Elsevier Sci Ltd, 2019) Dilek, Ahmet U.; Oguz, Ali D.; Satis, Furkan; Gokdel, Yigit D.; Ozbek, Muammer
    During its service life, a wind turbine has to withstand very challenging loads and severe environmental factors which can cause some deteriorations and cracks on structural components. Yearly periodic controls may not be sufficient to diagnose a fault at early stages. Therefore, wind turbines are very important systems which have to be monitored continuously. This work aims at developing an automated scanning system for IR (Infrared) laser vibrometers to conduct the tests and measurements, which are required for condition monitoring, in a more accurate and efficient manner. Unlike visible green or red lasers, IR laser is reflected by most surfaces (especially by blade material) with a very high intensity without needing a preparation or surface enhancement on the target. However, IR laser cannot be guided by refracting/reflecting the beam by lenses and mirrors used by conventional laser scanners. This work proposes a new methodology which is based on mounting the laser source on a motorized platform and then rotating the platform rather than guiding the laser beam by optical systems. The tests performed by using wind turbine models show that the proposed system is capable of guiding the laser to the desired measurement points with very high precision and efficiency. The results of the analyses also show that some important dynamic characteristics of the system such as Eigenfrequencies and mode shapes can be extracted very accurately.
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    Implementation of High-Performance LSM Using Wavelet Transformation Analysis
    (IEEE, 2015) Sansal, Firat; Gokdag, Yunus Engin; Kizilcabel, Hilal; Gokdel, Yigit D.
    Laser scanning microscopy (LSM), especially the laser scanning electron microscopy (LSCM) has become a technique which has been frequently used to acquire images of living cells with high resolution and contrast ratio in biomedical researchs including clinical biology. LSCM stands out as one of the most powerful microscopy techniques compared to conventional microscopy methods due to its capability of acquiring slices in the 3rd dimension by solely imaging the cell layers that lies only on focal plane. This study aims to increase the resolution of images by reducing the SNR of data which is obtained from resolution target by established confocal microscopy setup and subsequently using wavelet transform analysis.