In this paper, a single-ended fault location method is presented based on a circuit breaker operation using the frequencies of traveling waves. The proposed method receives the required data from voltage traveling waves with the aid of Fast Fourier Transform (FFT) and Wavelet Transform. Then, the Artificial Neural Network (ANN) identifies fault type and determines its location. In order to eval...

Diode-rectifier-based high voltage dc (DR-HVdc) systems can be a promising low-cost solution for exporting wind power from remote offshore farms to onshore systems. Industrializing the DR-HVdc requires technical maturation, achievable through in-depth studies and pilot experiments. Deployment of may entail fundamental change control philosophy in turbine (WT) converters grid-following grid-form...

Multipath interference in cities has always been one of the main problems leading to abnormal positioning results a global navigation satellite system. Vector tracking is superior conventional scalar ability mitigating multipath interference. However, due special sharing structure, fault propagation which easily occurs vector loop leads false alarms normal signals during detection. To solve thi...

the tabriz fault in northwest of iran is the important geological structure in our country which historical earthquakes were recorded around it. the purpose of this paper is the study of tabriz fault seismotectonic activity. the method of research is drawing 23 cross section vertical to tabriz fault between tabriz and bostan-abad distinguish mountain-front faceting, mountain-front sinuosity and...

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...

In the fault diagnosis of automaton, the vibration signal presents non-stationary and non-periodic, which make it difficult to extract the fault features. To solve this problem, an automaton fault diagnosis method based on morphological component analysis (MCA) and ensemble empirical mode decomposition (EEMD) was proposed. Based on the advantages of the morphological component analysis method i...