This paper describes a new Artificial Neural Network (ANN) based digital differential protection scheme for generator stator winding protection. The scheme includes two Feedforward Neural Networks (FNNs). One ANN is used for fault detection and the other is used for internal fault classification. This design uses current samples from the line-side and the neutral-end in addition to samples from...

This paper presents an assessment of motor current signature analysis for fault diagnosis of an induction motor. Single phasing fault has been considered and stator current harmonics are analyzed by assessing peaks and symmetry in harmonic spectrums both at normal condition and at fault condition. ‘db4’ is used for current signature analysis wavelet decomposition. A comparative observation is m...

This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...

Microgrids have played an important role in distribution networks during recent years.  DC microgrids are very popular among researchers because of their benefits. Protection is one of the significant challenges in the way of microgrids progress. As a result, in this paper, a fault detection and location scheme for DC microgrids is proposed. Due to advances in Artificial Intelligence (AI) and s...

Real time and accurate fault detection has attracted an increasing attention with a growing demand for higher operational efficiency and safety of industrial gas turbines as complex engineering systems. Current methods based on condition monitoring data have drawbacks in using both expert knowledge and quantitative information for detecting faults. On account of this reason, this paper proposes...

This paper presents the effects of instrument transformers connection points on the measured impedance by distance relays in the presence of Flexible Alternating Current Transmission System (FACTS) devices with series connected branch. Distance relay tripping characteristic itself depends on the power system structural conditions, pre-fault operational conditions, and especially the ground ...

Standard IDDQ testing is limited by the ability to distinguish a small fault current from a large background leakage current: this limitation is overcome in FPGAs by differential IDDQ testing. Partitioning of interconnects—dividing the interconnect resources of an FPGA into groups—further increases the detectability of a fault current. Fault location can be achieved by iteratively applying part...

Testability analysis of basic and complex logic gates employing complementary pass transistor logic (CPL) under various single stuck faults is investigated. Results show that all stuck-on faults, bridging faults and more than 90% stuck-at faults in the basic CPL gates are only detectable by current monitoring generally known as IDDQ testing. It is also shown that all stuck-open faults in the ba...