In this paper, a new un-decimated wavelet transform (UWT)-based fault detection method is proposed to overcome the limitations of WT-based methods in real-time applications. For the first time, UWT method is used to detect ...

Power Quality problems, which have become an important consumer issue in recent years, are defined as changes in voltage, current, or frequency in the power system. Among the factors affecting energy quality in grid-connected ...

Automated fault detection methods (AFDMs) are required to provide a more reliable and stable power system operation and protection. The faults in distributed generators (DGs) connected to the grid must be cleared on time ...

Artificial intelligence (AI) approaches are usually coupled with the wavelet transform (WT) for feature extraction to classify the power quality disturbances (PQDs). Therefore, selecting a useful WT-based signal processing ...

In this study, it is aimed to image the transparent objects by applying the phase shifting technique to lateral shearing digital holographic microscopy. In order to extract the phase information from interference patterns ...

Machine learning-based fault detection methods are frequently combined with wavelet transform (WT) to detect an unintentional islanding condition. In contrast to this condition, these methods have long detection and ...