Abstract
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.
Highlights
The axial flux coreless permanent magnet synchronous generator (PMSG) has many advantages
The literature contains a wide range of information about the detection of demagnetization faults from radial smart machines, it has a limited number of studies on faults in the axial flux coreless PMSG
TEST BENCH SETUP In order to diagnose the demagnetization fault that may occur in the machine, current and voltage fault signals were compared with healthy signals
Summary
The axial flux coreless PMSG has many advantages. it is commonly used. The demagnetization fault occurs when the permanent magnet exceeds the critical temperature, and unless the flux density reaches its actual value This demagnetization causes the machine to have a fault and to show low performance [16], [17]. Permanent magnet total flux (flux linkage) estimates are reported for the analysis of rate hormones under different loads, speeds, and temperatures in [19] When using these methods, the use of information about only one characteristic may not be sufficient for fault detection [20]. The literature contains a wide range of information about the detection of demagnetization faults from radial smart machines, it has a limited number of studies on faults in the axial flux coreless PMSG. The features obtained in this study provided a success rate between 97.16% and 100%
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