Due to its high power densities and compact dimensions, the axial flux coreless permanent magnet synchronous generator (PMSG) is used in a wide range of areas such as wind turbines and electric vehicles. It is extremely important to detect magnetization faults that occur in these generators. The occurrence of such faults in these machines with a wide range of areas of use affects their operation negatively. In this study, an effective method has been proposed to detect the demagnetization fault occurring in axial flux coreless PMSGs. The relevant method proposes an effective texture analysis-based feature extraction method, which is an original method in contrast to conventional methods used in the literature. It has been revealed that it is a method that can be used instead of conventional methods such as time-frequency analysis, frequency spectrum analysis, and motor current signature analysis (MCSA) methods. Using the finite element method, current and voltage signals were taken from the healthy and axial flux coreless PMSG with 3% and 6% demagnetization fault. Besides, these signals were retaken at different speeds and loads. After the signals were converted into images, using the features obtained from the images with LBP, fault diagnosis processes were carried out with Knn. It was tested both at different fault rates and under different load and speed conditions to test whether the proposed method worked properly. The success rate of this method was observed as 97.16% and 100%. With the proposed method, it has been revealed that the demagnetization fault can be detected in axial flux coreless PMSGs.

Bu çalışma fırçasız DC motorlarda (BLDC) oluşabilecek arızalar önceden belirlenerek motor çalışmasının devamlılığının sağlanması ve oluşabilecek olumsuzlukları önlemek açısından önem taşımaktadır. Hem arıza tespiti ve arıza şiddetinin belirlenmesi hem de sabit mıknatıslı motorunun tasarımı sonlu elemanlar yöntemi kullanılarak gerçekleştirildi. Sonlu elemanlar yöntemi kullanılarak motor analizleri yapıldı. Sonlu elemanlar yöntemiyle sağlıklı motor, arızalı motor ve bu arızaların farklı şiddetlerinde simülasyonlar gerçekleştirildi. Endüksiyon motoru için Hızlı Fourier Dönüşümü (FFT) uygun görülürken BLDC motoru için trapezoidal sinyal çıkışından dolayı Dalgacık dönüşüm (WT) yöntemi kullanılarak analiz gerçekleştirilmiştir. Bu çalışmada daha az belirgin olmayan durum analiz edilmiştir. FFT ve WT ölçülenler ile iyi bir uyum içinde olduğunu göstermiştir. Önerilen yöntemi kullanarak stator akımı ve stator geriliminin sabit mıknatıs arıza tespiti için yararlı olduğunu göstermiştir. Ayrıca, farklı sınıflandırıcılar kullanarak karşılaştırma yapılmıştır. İncelenen k-NN, MLP ve RF algoritması sınıflandırma da doğruluğunun oldukça kayda değer olduğu bulunmuştur.

In this study, in case of a grid-connected photovoltaic system to be installed in Diyarbakır conditions, the plant to be installed was simulated using the trial versions of PVsyst and PVSOL programs. For the study, the roof of Technical High School in Diyarbakır province was selected as a sample study area. As a result of the simulations, the performance and economic analysis of the system were performed together. As a result of the analyses, it was observed that the data of both programs were close to each other. The performance data of the system was analyzed, the approximate cost was calculated and the time for the system to cover its own cost was calculated approximately. Thus, these programs made significant contributions to us both in terms of predicting the performance of our system and the payback period of the system. The novelty of this study lies in conducting a comparative performance and economic assessment of PVsyst and PVSOL simulation tools under the climatic conditions of Diyarbakır, which is one of the regions with the highest solar energy potential in Turkey but has been rarely investigated in the literature. Unlike previous works that mainly focus on general PV performance, this study evaluates the consistency and differences between two widely used simulation programs. The comparative analysis provides additional insights into the accuracy and reliability of software-based predictions, which can support more informed PV project planning and investment decisions in southeastern Turkey.